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2026 3rd International Conference on Informatics Education and Computer Technology Applications (IECA 2026) will be held in Kuala Lumpur, Malaysia on January 16-18, 2026.
---𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗽𝗮𝗽𝗲𝗿𝘀---
The topics of interest for submission include, but are not limited to:
Track 1: Educational Data Mining and Learning Analytics
▪ Data-driven approaches to education
▪ Learning analytics and visualization
▪ Educational data mining and machine learning
▪ Big data in education
▪ Personalized learning
▪ Educational decision making
▪ Assessment and evaluation in e-learning
▪ Digital Education Platform
▪ Data preprocessing
▪ Data Mining and Evaluation
▪ Text mining
▪ Recommendation algorithm
▪ Data visualization
▪ Recommendation system
▪ Database management
▪ Data encryption
Track 2: STEM Education and Computational Thinking
▪ STEM education and pedagogy
▪ Computational thinking and coding education
▪ Robotics and automation in STEM education
▪ Computational modeling and simulation in education
▪ Educational applications of Internet of Things
▪ Digital fabrication and maker education
▪ E-learning platforms and tools
▪ Computer-supported collaborative learning
▪ Mobile and ubiquitous learning
▪ Game-based learning
▪ Virtual and augmented reality in education
▪ Adaptive learning systems
▪ Educational robotics and automation
▪ Emerging technologies in education
Track 3: Emerging Technologies In Education
▪ Web-based Learning
▪ Social Media Analysis and Educational Applications
▪ Technology-Enhanced Learning
▪ Flipped Classroom
▪ Impact of Web Technologies on Education
▪ Web Classroom Applications
▪ BYOD (Bring your own device) and 1:1 Learning
▪ Mobile and Tablet Technologies
▪ Virtual Reality and 3D Applications
▪ ICT skills and Digital literacy
▪ ICT for Development
▪ Intelligent Systems and UX for Education
▪ Open Educational Resources
▪ Open Access Education
▪ Knowledge Management
▪ Digital Libraries and Repositories
▪ E-Portfolios
--- 𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀---
- Prof. Dr. Mohd Shafry Mohd Rahim, Universiti Teknologi Malaysia, Malaysia
- Prof. Dr. Azham Hussain, Universiti Utara Malaysia, Malaysia
- Prof. Yonghui Li (ARC Future Fellow, Fellow IEEE),The University of Sydney, Australia
- Prof. Xinguo Yu, Central China Normal University, China
---𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻---
All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of IECA 2026 will be published in ACM ICPS (ACM International Conference Proceeding Series) and submitted to EI Compendex and Scopus for indexing.
---𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀---
- Full Paper Submission Date: December 31, 2025
- Registration Date: January 8, 2026
- Final Paper Submission Date: January 8, 2026
- Conference Dates: January 16-18, 2026
--- 𝗣𝗮𝗽𝗲𝗿 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻---
Please send the full paper(word+pdf) to Submission System:
2026 International Conference on Generative Artificial Intelligence and Education (GAIE 2026) will be held in Singapore on February 6-8, 2026.
---𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗽𝗮𝗽𝗲𝗿𝘀---
The topics of interest for submission include, but are not limited to:
◕Track 1
Generative Artificial Intelligence
Large language models
Generative adversarial networks
Diffusion models
Multimodal generative models
Knowledge-augmented generation
Explainable generative AI
Human-in-the-loop generation
Generative AI safety and ethics
Prompt engineering
Few-shot zero-shot generation
Adaptive content generation
◕Track 2
Data, Interaction and Learning Analytics
Educational data mining
Learning analytics
Student engagement analysis
Human-AI collaborative learning
Emotion recognition in education
Privacy-preserving AI in education
Edge and cloud AI for education
Learning pathway modeling
Cross-platform educational AI
Ethical and fair AI in education
◕Track 3
Intelligent Educational Applications
Intelligent tutoring systems
Personalized learning
Adaptive assessment
Virtual teaching assistants
Automated content generation
Gamification
Curriculum design support
Conversational educational agents
AI-supported collaborative learning
Virtual labs and simulations
---𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀---
Professor Dr Chan Nee Nee,UCSI University, Malaysia
Prof. Dr. Koo Ah Choo,Multimedia University, Malaysia
Prof. Longkai Wu,Central China Normal University, China
---𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻---
All accepted full papers will be published in GAIE 2026 conference proceedings and will be submitted to EI and Scopus for indexing.
---𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀---
Conference Dates: February 6-8, 2026
Submission & Registration Deadline: January 30,2026
--- 𝗣𝗮𝗽𝗲𝗿 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻---
Please send the full paper(word+pdf) to Submission System:
[CFP]2024 3rd International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2024) - December
As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. To adapt to this changing world and China’s fast development in this new era, 2024 3rd International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2024) will be held on December 13-15, 2024 in Shenyang, China. MEAI 2024 provides an enabling platform for innovative academics, engineers and industrial experts in the field of Intelligent Measurement and Control, Artificial Intelligence, Intelligent Manufacturing and Automation to exchange new ideas and present research results.This conference also promotes the establishing of business or research relations among global partners for future collaboration. We hope that this conference could make significant contribution to the update of knowledge about these latest scientific field. We sincerely invite you to participate in MEAI 2024 and look forward to seeing you in Shenyang, China!
Conference Link:
Topics of interest include, but are not limited to:
◕Mechatronic Engineering
Mechanical Adaptive Control
Microelectronic systems
Analogue Integrated Circuit Design
Fluid Drive and Control Technology
......
◕Artificial Intelligence
Intelligent Control
Machine Learning
Artificial Intelligence Modelling and Simulation
Scheduling and Optimization of Artificial
......
Important dates:
Full Paper Submission Date: October 15, 2024
Registration Deadline: December 10, 2024
Conference Dates: December 13-15, 2024
Submission Link:
IEEE-2025 5th International Conference on Computational Modeling, Simulation and Data Analysis (CMSDA 2025) will be held on December 12-14, 2025 in Qingdao, China.
More Details: https://ais.cn/u/z2e2um
Paper Submission: https://ais.cn/u/BVryAj
Registration: https://ais.cn/u/JRBN7v
---𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀---
Full Paper Submission Date: November 25, 2025
Registration Deadline: December 5, 2025
Full Paper Submission Date: December 5, 2025
Conference Dates: December 12-14, 2025
---𝗖𝗮𝗹𝗹 𝗙𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀---
The topics of interest for submission include, but are not limited to:
Topic 1: Modeling and simulation
Model Verification and Validation
Intelligent and Expert Systems
Computer Network Modeling and Analysis
Circuit Simulation
Discrete Event and Data Simulation
Industrial Simulation Modeling
Robot System Simulation
Internet of Things Modeling
Education Modeling
Material Engineering Simulation
Power System Simulation
Fuzzy Modeling
Process Simulation and Modeling
Performance Evaluation and Modeling
Mobile System Modeling
......
Topic 2: Data Analysis
Data Mining
Big Data Visualization
Computer Simulation
Model Optimization
Model Visualization
Modeling Analysis
Linear Regression Analysis
Multimodal Interactive
Deep Learning
Data Classification
Edge Computing
Mobile Computing
---𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀---
- Prof. Nikhil R. Pal, Indian Statistical Institute, Indian,IEEE Fellow, Fellow of the Indian National Science Academy
- Prof. Jian Wang, China University of Petroleum (East China), China,IEEE Senior Member
---𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻---
Submitted paper will be peer reviewed by conference committees, and accepted papers after registration and presentation will be published in the IEEE(ISBN: 979-8-3315-8795-6), which will be submitted for indexing by IEEE Xplore, EI Compendex, Scopus.
--- 𝗣𝗮𝗽𝗲𝗿 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻---
Please send the full paper(word+pdf) to Submission System:
IEEE 2025 6th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE 2025) will be held on July 18-20, 2025 in Kuala Lumpur, Malaysia.
Conference Website: https://ais.cn/u/RVZBBv
---Call for papers---
The topics of interest include, but are not limited to:
· Big Data Analysis
· Deep Learning、Machine Learning
· Artificial Intelligence
· Pattern Recognition
· Data Mining
· Cloud Computing Technologies
· Internet of Things
· AI Applied to the IoT
· Clustering and Classificatio
· Soft Computing
· Natural Language Processing
· E-commerce and E-learning
· Wireless Networking
· Network Security
· Big Data Networking Technologies
· Graph-based Data Analysis
· Signal Processing
· Online Data Analysis
· Sequential Data Processing
......
---Publication---
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published by IEEE and will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.
---Important Dates---
Full Paper Submission Date: May 4, 2025
Registration Deadline: June 3, 2025
Final Paper Submission Date: June 18, 2025
Conference Dates: July 18-20, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR 2025) will be held in Dongguan, China on December 12-14, 2025.
𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗪𝗲𝗯𝘀𝗶𝘁𝗲: https://ais.cn/u/iuaEje
---𝗖𝗮𝗹𝗹 𝗙𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀---
The topics of interest for submission include, but are not limited to:
◕Track 1: Core Data Technologies
Data analysis
Data mining
Data integration and visualization
Data management, analysis, and information retrieval
Distributed data processing and integration
Open knowledge computing
Scientific research based on big data
◕Track 2: Artificial Intelligence and Algorithms
Natural language processing (NLP)
Object detection and recognition
Artificial intelligence algorithms
Distributed artificial intelligence
Risk analysis and management based on artificial intelligence technology
Network security (cybersecurity applications of AI)
Reliability engineering (AI-driven systems)
◕Track 3: Risk Governance and Decision Systems
Risk management systems
Risk recognition
Big data-driven risk analysis and management
Risk governance and big data
Risk and emergency governance system
Decision management
Big data-driven management and decision-making
--- 𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀---
- Prof. Yan Zhang, University of Oslo, Norway(IEEE Fellow, IET Fellow, Member of Academia Europaea, Member of Royal Norwegian Society of Sciences and Letters Academy, Member of Norwegian Academy of Technological Sciences, "Highly Cited Researcher")
- Prof. Min Chen, South China University of Technology, China(IEEE Fellow, IET Fellow, H-index=94)
- Prof. Celimuge Wu, The University of Electro-communications, Japan(IEEE Senior Member)
- A. Prof. Dalin Zhang, Aalborg University, Denmark(The Chapter Chair of Computer Society, IEEE Denmark)
---𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻---
All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of ICBAR 2025 conference proceedings will be published and submitted to EI Compendex, Scopus for indexing.
---𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀---
Full Paper Submission Date: November 12, 2025
Registration Date: November 28, 2025
Final Paper Submission Date: November 28, 2025
Conference Dates: December 12-14, 2025
--- 𝗣𝗮𝗽𝗲𝗿 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻---
Please send the full paper(word+pdf) to Submission System:
Call for papers-第五届管理科学和软件工程国际学术会议(ICMSSE 2025)
Call for papers: 2025 5th International Conference on Management Science and Software Engineering (ICMSSE 2025) will be held in Nanjing,China on October 24-26, 2025.
Conference website（English): https://ais.cn/u/ziIFzy
重要信息
大会官网(投稿网址）: https://ais.cn/u/ziIFzy
大会时间: 2025年10月24-26日
会议地点：中国-南京
提交检索：EI Compendex, Scopus
会议详情
第五届管理科学和软件工程国际学术会议(ICMSSE 2025)将于2025年10月24-26日于南京召开。会议旨在为从事管理与软件工程领域的专家学者、工程技术人员、技术研发人员提供一个共享科研成果和前沿技术，了解学术发展趋势，拓宽研究思路，加强学术研究和探讨，促进学术成果产业化合作的平台。大会诚邀国内外高校、科研机构专家、学者，企业界人士及其他相关人员参会交流。
征稿主题（包括但不限于）
1. 管理科学方向：
公共管理
项目管理
绩效管理
风险管理
供应链管理
图书管理
档案管理
工程管理
现代管理
大数据管理
数字化管理
经济管理
工商管理
安全管理
管理信息系统
......
2. 软件工程方向：
软件架构
软件设计方法
软件领域建模
软件工程决策支持
软件测试技术
自动化的软件设计和合成
计算机工程
计算机软件
自动化的软件设计和合成
软件代理技术
......
所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，所有录用稿件将以会议论文集（Conference Proceedings）的形式在Springer 斯普林格 旗下Atlantis Press正式出版，见刊后由出版社提交至EI、Scopus、CNKI、谷歌检索。
参会投稿方式：
1、主讲嘉宾：申请主题演讲，由组委会审核；
2、口头演讲：申请口头报告，时间为10-15分钟；
3、海报展示：申请海报展示，A1尺寸，模板可参考：点击，大会组委将统一打印于会议现场展示；
4、听众参会：不投稿仅参会/投稿 参会
◆ 投稿入口: https://ais.cn/u/ziIFzy
Call for papers-第五届计算机图形学、人工智能与数据处理国际学术会议（ICCAID 2025）
Call for papers: 2025 5th International Conference on Computer Graphics, Artificial Intelligence and Data Processing (ICCAID 2025) will be held on October 31-November 2, 2025 in Nanchang, China.
Conference website（English): https://ais.cn/u/JJz6ze
重要信息
大会官网(投稿网址）: https://ais.cn/u/JJz6ze
大会时间: 2025年10月31-11月2日
会议地点：中国-南昌-南昌航空大学
提交检索：EI Compendex, Scopus
会议详情
第五届计算机图形学、人工智能与数据处理国际学术会议（ICCAID 2025）将于 2025年10月31日-11月2日在中国南昌举行。本次会议主要围绕“计算机图形学、人工智能与数据处理”的最新研究展开，旨在荟聚世界各地该领域的专家、学者、研究人员及相关从业人员，分享研究成果，探索热点问题，交流新的经验和技术。我们热烈欢迎相关领域专家学者向ICCAID 2025提交他们的新研究或技术贡献，与来自世界各地的科学家和学者分享宝贵的经验！
征稿主题（包括但不限于）
1. 计算机图形学
图形学基础理论与算法
真实感图形
几何造型与处理
计算机动画与游戏
非真实感图形
基于图像和视频的图形技术
......
2. 人工智能
生物特征
模式识别
机器视觉
专家系统
深度学习
智能搜索
自动编程
......
3. 数据处理
数据挖掘
大数据技术与应用
大数据管理与应用
大数据运维
数学与应用科学
信息与计算科学
统计学
计算机科学
数据科学与大数据技术
......
出版信息
会议投稿经过2-3位组委会专家严格审核后，最终所录用的论文将在SPIE - The International Society for Optical Engineering (ISSN: 0277-786X) 出版，并提交至EI Compendex, Scopus检索。
参会投稿方式：
1、口头汇报：出席会议并作10-15分钟的全英PPT演讲
*开放给所有投稿作者与自费参会人员；针对论文或者论文里面的研究做一个10-15min的英文汇报，需要自备PPT，无模板要求，会前根据会议邮件通知进行提交，详情联系会议秘书。
2、海报展示：出席会议并自制电子版海报提交至会议邮箱，会议安排展示
*开放给所有投稿作者与自费参会人员；格式：全英-A1尺寸-竖版（宽*高：594mm*841mm），需自制；制作后提交海报图片至会议邮箱iccaid@163.com，主题及海报命名格式为：现场参会/线上参会-姓名-论文订单号。
3、听众参会：出席并参加本次会议, 可全程旁听会议所有展示报告
◆ 投稿入口: https://ais.cn/u/JJz6ze
The 6th International Conference on Information Science, Parallel and Distributed Systems (ISPDS 2025) is scheduled to be held in London, U.K. from October 31 to November 2, 2025.
Conference Website: www.ispds.org
-.-Call for papers--.
The topics of interest for submission include, but are not limited to:
◕ Algorithms
◕ Artificial Intelligence
◕ Applications
◕ Compilers and runtime systems
◕ Communication
◕ Deep memory hierarchies
◕ Development, analysis, or management tools
◕ Data Compression
◕ Data Mining
◕ Data Engineering
◕ Fault tolerance for Parallel and Distributed systems
◕ High performance computing, cloud and grid computing
◕ Information Retrieval
◕ Image Processing
◕ Information Systems
◕ Middleware and Software engineering
◕ Programming languages
◕ Programming theory and models
◕ Security in Computing
◕ Signal Processing
◕ Information / Cyber Security
◕ Wireless and Mobile Computing
---Publication--
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in IEEE (ISBN: 979-8-3315-6606-7)and submitted to IEEE Xplore, EI Compendex, Scopus for indexing.
.lmportant Dates...
Full Paper Submission Date: September 16. 2025
Registration Deadline: September 25, 2025
Final Paper Submission Date: October 17, 2025
Conference Dates: October 31-November 2, 2025
-.-Paper Submission-..
Please send the full paper(word+pdf) to Submission System:https://www.ispds.org/Submission
IEEE 2025 6th International Conference on Information Science, Parallel and Distributed Systems (ISPDS 2025) is scheduled to be held in London, U.K. on October 31-November 2, 2025.
Conference Website: https://www.aischolar.com/conference/ispds2025?invite=RG
---Call For Papers---
The topics of interest for submission include, but are not limited to:
◕ Algorithms
◕ Artificial Intelligence
◕ Applications
◕ Compilers and runtime systems
◕ Communication
◕ Deep memory hierarchies
◕ Development, analysis, or management tools
◕ Data Compression
◕ Data Mining
◕ Data Engineering
◕ Fault tolerance for Parallel and Distributed systems
◕ High performance computing, cloud and grid computing
◕ Information Retrieval
◕ Image Processing
◕ Information Systems
◕ Middleware and Software engineering
◕ Programming languages
◕ Programming theory and models
◕ Security in Computing
◕ Signal Processing
◕ Wireless and Mobile Computing
......
---Publication---
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in IEEE (ISBN: 979-8-3315-6606-7)and submitted to IEEE Xplore, EI Compendex, Scopus for indexing.
---Important Dates---
Full Paper Submission Date: October 10, 2025
Registration Deadline: October 17, 2025
Final Paper Submission Date: October 25, 2025
Conference Dates: October 31-November 2, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
IEEE 2025 6th International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE 2025) will be held during October 17-19, 2025 in Shanghai, China.
Conference Website: https://ais.cn/u/yyaQri
---Call for papers---
The topics of interest for submission include, but are not limited to:
◕ Big Data and Cloud Computing
· Models and algorithms of Big Data
· Architecture of Big Data
· Big Data Management
· Big Data Analysis and Processing
· Security and Privacy of Big Data
......
◕ Technologies & Application of AI
· Basic Theory and Application of Artificial Intelligence
· Knowledge Science and Knowledge Engineering
· Machine Learning and Data Mining
· Machine Perception and Virtual Reality
· Natural Language Processing and Understanding
......
◕ Internet of Things and Sensor Technology
· Technology architecture of Internet of things
· Sensors in Internet of things
· Perception technology of Internet of things information
· Multi terminal cooperative control and Internet of things intelligent terminal
· SDN and intelligent service network
......
---Publication---
All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of ICBAIE 2025 will be published in IEEE and will be submitted to EI Compendex, Scopus for indexing. All conference proceedings paper can not be less than 4 pages.
---Important Dates---
Full Paper Submission Deadline: September 17, 2025
Registration Deadline: October 10, 2025
Final Paper Submission Date: October 10, 2025
Conference Dates: October 17-19, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
I am writing PhD thesis on data mining. How I can write a good "thesis Innovations"? What are the key points?
Why you keep asking me if A. Khattely was the author of a paper from 2015 (Unveiling soil degradation and desertification risk in the Mediterranean basin: a data mining analysis
of the relationships between biophysical and socioeconomic factors in agro-forest landscapes)??? The only Khatteli who author this paper was Houcine Khateli, deceased several yeras ago.
Intelligent systems based on machine learning, deep learning and data mining to detect counterfeiting, money laundering and banking fraud
with the ability to analyze in real time and predict suspicious patterns
会议征稿：第二届数字经济，区块链与人工智能国际学术会议（DEBAI 2025）
Call for papers：2025 2nd International Conference on Digital Economy, Blockchain and Artificial Intelligence (DEBAI 2025), which will take place in Beijing, China during June 27-29, 2025.
Conference website（English): https://ais.cn/u/eQZjU3
重要信息
大会官网(投稿网址）：https://ais.cn/u/eQZjU3
大会时间：2025年6月27-29日
大会地点：中国-北京
提交检索：EI Compendex , Scopus
会议详情
第二届数字经济，区块链与人工智能国际学术会议（DEBAI 2025）将于2025年06月27-29日在中国-北京召开。本次会议的目标是汇聚全球智慧，探索数字经济、区块链和人工智能的最新研究和应用。通过深度交流，启发创新思维，推动技术进步和商业变革，以构建更为智能、高效且具有包容性的未来社会。我们致力于搭建一个开放、包容的国际学术舞台，促进学界与业界间的紧密合作，推动该领域研究成果的实际应用，为经济的可持续发展做出积极贡献。
征稿主题（包括但不限于）
Track 1: 数字经济
大数据经济
国民经济学
区域经济学
财政学
金融学
产业经济学
国际贸易学
劳动经济学
统计学
大数据金融
......
Track 2: 区块链
区块链技术的应用
区块链技术的服务
区块链的数据管理
区块链的去中心化模式
区块链的安全
隐私和信任
区块链的智能合约管理
区块链数据模型的设计
区块链的交易管理
......
Track 3: 人工智能
人工智能算法
人工智能工具与应用
人工神经网络并行处理
机器学习
深度学习
计算机视觉与图像理解
信号与图像处理
语音和自然语言处理
计算学习理论
......
论文出版
会议投稿经过2-3位组委会专家严格审核后，最终所录用的论文将被ACM ICPS (ACM International Conference Proceeding Series)出版论文集，并提交至ACM Digital library，EI Compendex, Scopus，谷歌学术检索。
参会投稿方式：
DEBAI 2025 设置有口头演讲/海报展示/听众参会三种方式，选择其中一种进行报名参会均可在会后领取参会证明
1、口头演讲：申请口头报告，时间为10-15分钟左右
2、海报展示：制作A1尺寸彩色海报，线上/线下展示
3、听众参会：不投稿仅参会，可与现场嘉宾/学者进行交流互动
4、论文录用后可享一名作者免费参会名额
◆ 报名投稿参会入口：https://ais.cn/u/eQZjU3
会议征稿：第四届人工智能、物联网和云计算技术国际会议（AIoTC 2025）
Call for papers：IEEE 2025 4th International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC 2025) will be held in Guilin, China during August 8-10, 2025.
Conference website（English): https://ais.cn/u/MjQRRb
重要信息
大会官网(投稿网址）：https://ais.cn/u/MjQRRb
大会时间：2025年8月8-10日
大会地点：中国-桂林
提交检索：IEEE Xplore、EI Compendex、Scopus
会议详情
第四届人工智能、物联网与云计算技术国际会议(AIoTC 2025)将于2025年8月22日-24日在中国桂林举行。本次会议主要围绕“人工智能、物联网和云计算技术”的最新研究展开，旨在荟聚世界各地该领域的专家、学者、研究人员及相关从业人员，分享研究成果，探索热点问题，交流新的经验和技术。
征稿主题（包括但不限于）
1. 人工智能
机器人技术
自然语言处理
机器学习
模式识别
神经网络与支持向量机
模糊控制与系统
人机交互
网络安全
专家系统
数据挖掘
......
2. 物联网
物联网芯片与传感器
CPS技术与智能信息系统
物联网环境中的多网资源共享
物联网芯片与传感器
物联网技术体系架构
物联网中的云计算与大数据
边缘智能与区块链
智慧城市
物联网可穿戴设备
智能家居
......
3. 云计算技术
云计算系统和架构
边缘计算和5G
边缘计算系统和架构
以云为中心的网络架构
社交和移动云应用
云安全和隐私
大规模云应用
SDN和数据中心网络
密码算法和协议
区块链系统
......
论文出版
AIoTC 2025所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将由IEEE出版社出版（ISBN：979-8-3315-9720-7），收录进IEEE Xplore数据库，见刊后由期刊社提交至EI Compendex、SCOPUS收录。
参会投稿方式：
1.口头报告：论文一经录用即可注册参会报名口头报告，时间为15分钟，含问答环节。无投稿亦可报名。
2.海报展示：论文一经录用即可注册参会、展示海报，海报尺寸为A1竖版（宽*高：594mm*841mm，JPG/PNG格式，模板点击会议资料下载）。无投稿亦可报名。
（*注：提交海报至会议邮箱：contact_aiotc@163.com，邮件主题：现场参会/线上参会-海报展示-姓名-参会订单号）
3.听众参会：无需提交稿件，直接注册听众参会即可
◆ 报名投稿入口：https://ais.cn/u/MjQRRb
IEEE 2025 10th International Conference on Electronic Technology and Information Science (ICETIS 2025) will be held on June 27-29, 2025 in Hangzhou, China.
Conference Website: https://ais.cn/u/EnumAj
---Call For Papers---
The topics of interest for submission include, but are not limited to:
◕ Electronics Engineering
3D Semiconductor Device Technology
Adaptive Signal Processing
Advanced Electromagnetics
Artificial Intelligence
Component Technology of MEMS
Compound Semiconductor Physics and Devices
Computer Engineering
Device Electronics for I.C
......
◕ Computer Engineering
Algorithms
Artificial Intelligence
Automated Software Engineering
Bioinformatics and Scientific Computing
Computer-aided Design
Computer Animation
Computer Architecture
Computing Ethics
Computer Modeling
......
---Publication---
All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of ICETIS 2025 will be published in IEEE and will be submitted to EI Compendex,Scopus for indexing.
---Important Dates---
Full Paper Submission Date: May 27, 2025
Registration Deadline: June 20, 2025
Final Paper Submission Date: June 20, 2025
Conference Dates: June 27-29, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
IEEE 2025 6th International Conference on Computer Vision, Image and Deep Learning (CVIDL 2025) will be held on May 23-25, 2025 in Ningbo, China.
Conference Website: https://ais.cn/u/AJFfEn
---Call For Papers---
The topics of interest for submission include, but are not limited to:
1. Vision and Image technologies
· Image-based computer graphics
· computational vision theory
· Image Analysis of the video
· Graphics modeling
· Image processing
· Image acquisition
· Image Segmentation
· Medical image processing
......
2. DL Technologies
· Caption generation
· Cognitive architectures
· Commonsense reasoningo Episodic reasoning
· Intelligent agents (e.g., planning and acting, goal reasoning)
· Machine learning (e.g., deep, reinforcement, statistical relational, transfer)
· Model-based reasoning Narrative intelligence
· Temporal reasoning Visual reasoning
3. DL Applications
· Ambient intelligence
· Autonomic computing
· Biomedical systems
· Computer games
· Image processing (e.g., security/surveillance tasks)
· Information retrieval and reuse
· Intelligent tutoring systems
· Language translation
......
---Publication---
All accepted full papers will be published in IEEE ( ISBN: 979-8-3315-2324-4) and will be submitted to IEEE Xplore, EI Compendex, Scopus and Inspec for indexing.
---Important Dates---
Full Paper Submission Date: May 16,2025
Registration Deadline: May 16, 2025
Final Paper Submission Date: May 16, 2025
Conference Dates: May 23-25, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
会议征稿：2025年人工智能与数字金融国际学术会议(AIDF 2025)
Call for papers：2025 International Conference on Artificial Intelligence and Digital Finance（AIDF 2025）will be held in Chengdu, China during June 13-15, 2025.
Conference website（English): https://ais.cn/u/BFvA3q
重要信息
大会官网(投稿网址）：https://ais.cn/u/BFvA3q
大会时间：2025年6月13日-15日
大会地点：中国-成都
提交检索：EI Compendex ,Scopus
会议详情
随着全球金融市场的快速发展与技术的不断进步，人工智能（AI）已成为推动金融行业变革的重要力量。2025年人工智能与数字金融国际学术会议(AIDF 2025)将于2025年6月13-15日在中国成都举行。本届会议由西南财经大学主办。会议主要围绕人工智能在经济、金融领域的最新研究成果展开，为来自国内外高等院校、科学研究所、企事业单位的专家、教授、学者、工程师等提供一个分享专业经验，扩大专业网络，面对面交流新思想以及展示研究成果的国际平台，探讨本领域发展所面临的关键性挑战问题和研究方向，以期推动该领域理论、技术在高校和企业的发展和应用，也为参会者建立业务或研究上的联系以及寻找未来事业上的全球合作伙伴。
征稿主题（包括但不限于）
Track 1: 经济数据挖掘
信息检索与融合
自然语言处理
推荐系统
知识发现
云计算
粗糙集
城市计算
深度学习
......
Track 2：商业智能与计算
推荐系统
决策分析
智能计算
加密算法
密钥管理
分布式数据库
云计算
决策支持系统
......
Track 3：数字经济与信息安全
安全架构
人脸识别
数据脱敏
入侵检测和防御
数据加密
漏洞检测
身份验证
协作计算
加密货币
......
论文出版
所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将由ACM International Conference Proceedings Series出版，见刊后提交至EI Compendex, Scopus检索。检索稳定！
投稿参会方式
1、会议文作者参会：一篇录用文章允许一名作者免费参会;
2、会议主讲嘉宾：申请主题演讲，由组委会审核；
3、会议口头报告：申请口头报告，时间为15分钟；
4、会议海报展示：申请海报展示，A1尺寸，彩色打印；
5、听众参会：不投稿仅参会，也可申请演讲及展示。
*请通过报名系统进行投稿: https://ais.cn/u/BFvA3q
会议征稿：2025年数字经济与智能计算国际学术会议（DEIC 2025）
Call for papers：2025 International Conference on Digital Economy and Intelligent Computing（DEIC 2025）will be held from May 23-25, 2025 in Shanghai, China.
Conference website（English): https://ais.cn/u/ErMBni
重要信息
大会官网(投稿网址）：https://ais.cn/u/ErMBni
大会时间：2025年5月23-25日
大会地点：中国-上海
提交检索：EI Compendex ,Scopus
会议详情
2025年数字经济与智能计算国际会议(DEIC 2025)将于2025年5月23日至25日在中国上海召开。
随着互联网、大数据、人工智能等技术的快速发展，数字经济已成为全球经济增长的重要动力。数字经济不仅改变了传统产业的生产经营方式，还催生了一大批新兴产业和商业模式。智能计算作为数字经济的重要技术支撑，涉及机器学习、人工智能、数据分析等多个领域。此外，数字经济正在从根本上重塑全球经济格局，各国也将其视为国家战略的重要组成部分。智能计算技术的快速发展和广泛应用给社会带来了深远的影响，其在金融等诸多领域的创新和应用也在不断深入。
该会议旨在搭建一个国际学术交流平台，为数字经济和智能计算领域的专家、学者和从业者提供一个分享最新研究成果、交流思想、建立合作关系的机会。
征稿主题（包括但不限于）
Track 1: 数字经济
区块链在数字经济中的应用
智能计算与供应链管理
人工智能伦理与数字经济
自然语言处理和聊天机器人
深度学习算法及其应用
数字金融与金融科技创新
智慧城市和智慧社会
区块链技术与区域经济
Track 2: 智能计算
智能和人工智能控制
智能自动化
智能系统传感器
智能数据分析
人工智能算法
人工智能工具与应用
自然语言处理
数据挖掘和机器学习工具
Track 3: 开源创新与金融智能
人工智能驱动金融服务创新
人工智能开源发展趋势
数字经济下的普惠金融研究
供应链金融的数字化转型
开源创新在产业应用研究
Track 4: 具身智能与空间计算
物联网设备的智能交互设计
仿生机器人设计与具身智能的实现
智能可穿戴设备中的空间感知
基于空间计算的协作机器人系统
移动计算中的空间数据管理
Track 5: 可信AI与模型治理
AI模型的透明性与可解释性探索
自动化机器学习中的模型风险管理
嵌入式AI系统的安全性验证
数据隐私保护技术在AI中的应用
AI模型的偏见检测与消减技术
论文出版
会议投稿经过2-3位组委会专家严格审核后，最终所录用的论文将被ACM ICPS (ACM International Conference Proceeding Series)出版论文集，并提交至ACM Digital library，EI Compendex, Scopus，谷歌学术检索。
投稿参会方式
DEIC 2025 设置有口头演讲/海报展示/听众参会三种方式，选择其中一种进行报名参会均可在会后领取参会证明
1、口头演讲：申请口头报告，时间为10-15分钟左右
2、海报展示：制作A1尺寸彩色海报，线上/线下展示
3、听众参会：不投稿仅参会，可与现场嘉宾/学者进行交流互动
4、论文录用后可享一名作者免费参会名额
**报名投稿系统网址：https://ais.cn/u/ErMBni
2025 International Conference on Artificial Intelligence, Digital Media Technology and Social Computing 2025 (ICAIDS 2025)will be held in Shanghai, China on April 11-13, 2025.
Conference Website: https://ais.cn/u/BzQNJz
---Call for papers---
The topics of interest for submission include, but are not limited to:
◕ Social computing science
Deep learning
Neural network
Affective computing
Data mining
Network mining
Privacy protection
Interpretable machine learning
Knowledge graph
Large language model
Modeling complex social systems
......
◕ Social computing applications
Recommendation system
Human-computer interaction and visualization
Social media mining
Urban computing
Multimedia information processing
Multimodal sentiment analysis
User classification
User modeling
Pervasive computing
Smart city
Online community
Social network analysis
Social recommendation
Web 2.0 and the Semantic Web
......
---Publication---
Submitted paper will be peer reviewed by conference committees, and accepted papers after registration and presentation will be published in the Conference Proceedings, which will be submitted for indexing by Ei Compendex, Scopus.
---Important Dates---
Full Paper Submission Date: March 14, 2025
Notification Date: March 21, 2025
Final Paper Submission Date: March 28, 2025
Conference Dates: April 11-13, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
IEEE 2025 International Conference on Artificial Intelligence and Digital Ethics (ICAIDE 2025), which will be held in Guangzhou,China during May 30-June 1, 2025.
**Conference Website: https://ais.cn/u/iEnQn2
This conference aims to bring together thought leaders, researchers, and practitioners from academia, industry, and policy sectors to engage in meaningful discussions about the implications of artificial intelligence on society. We will explore critical topics, including algorithmic bias, data privacy, the impact of AI on employment, and the ethical frameworks necessary for responsible AI development. Through keynote speeches, panel discussions, and workshops, participants will collaborate to address the challenges and opportunities presented by AI technologies. Together, we strive to foster a deeper understanding of digital ethics and its role in shaping a sustainable future. Join us as we navigate the complex intersection of technology and morality in the digital age.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
◕ Track 1: Artificial Intelligence
AI Algorithms
Natural Language Processing
Fuzzy Logic
Computer Vision and Image Understanding
Signal and Image Processing
Speech and Natural Language Processing
Computational Theories of Learning
Information Retrieval and Fusion
......
◕ Track 2: Digital Ethics
AI Algorithmic Transparency
Data Privacy
Bias and Fairness
Ethical Frameworks
AI Governance
Ethics of Machine Learning
AI Decision-Making
Explainability
Accountability and Responsibility
......
---Publication---
All accepted papers will be published by IEEE (ISBN:979-8-3315-2385-5) and will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.
---Important Dates---
Full Paper Submission Date: March 15, 2025
Registration Deadline: May 10, 2025
Final Paper Submission Date: April 30, 2025
Conference Date: May 30-June 1, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
会议征稿：IEEE第八届大数据与应用统计国际学术研讨会（ISBDAS 2025）
Call for papers: 2025 8th International Symposium on Big Data and Applied Statistics (ISBDAS 2025) will be held on February 28- March 2, 2025 in Guangzhou, China.
Conference website（English): https://ais.cn/u/NBvqyq
重要信息
大会官网(投稿网址）：https://ais.cn/u/NBvqyq
大会时间：2025年2月28日-3月2日
大会地点：中国-广州
提交检索：IEEE Xplore, EI,Scopus
主办单位：广东省高等教育学会人工智能与高等教育研究分会
会议详情
第八届大数据与应用统计国际学术研讨会（ISBDAS 2025）定于2025年2月28-3月2日在中国广州举行。会议旨在为从事“大数据”与“应用统计学”研究的专家学者、工程技术人员、技术研发人员提供一个共享科研成果和前沿技术，了解学术发展趋势，拓宽研究思路，加强学术研究和探讨，促进学术成果产业化合作的平台。大会诚邀国内外高校、科研机构专家、学者，企业界人士及其他相关人员参会交流。
征稿主题（包括但不限于）
Track 1: 大数据算法
智能计算应用
模型与计算
智能计算算法
进化计算
数据挖掘
三元决策与机器学习
组合算法
数据和文本挖掘
知识推理
深度学习
Track 2: 应用数学理论
博弈论
认知建模与计算
概率论与统计学
微分方程及其应用
离散数学与控制
线性代数及其应用
数值分析
运筹学与优化
近似理论
组合数学
可计算性理论
离散几何
矩阵计算
论文出版
所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所录用的论文将由IEEE (ISBN:979-8-3315-0719-0) 出版，收录进IEEE Xplore数据库，出版后提交EI, Scopus检索。
参会方式
1、作者参会：一篇录用文章允许一名作者免费参会；
2、主旨报告：可申请主题演讲，由组委会审核；
3、口头报告：可申请口头报告，时间为15分钟；
4、海报展示：可申请海报展示，A1尺寸，彩色，JPG/PNG格式（宽*高：594mm*841mm）；系统报名后于2025年2月20日前发送文件至邮箱ISBDAS@163.com，邮件主题【线上/现场-海报展示-姓名】；
5、听众参会：不投稿仅参会，也可申请演讲及展示；
6、报名参会：https://ais.cn/u/NBvqyq
会议征稿：第四届电子信息工程与数据处理国际学术会议（EIEDP 2025）
Call for papers: 2025 4th International Conference on Electronic Information Engineering and Data Processing(EIEDP 2025) will be held on January 17-19, 2025 in Kuala Lumpur, Malaysia.
Conference website（English): https://ais.cn/u/32mQzi
重要信息
大会官网(投稿网址）：https://ais.cn/u/32mQzi
大会时间：2025年1月17-19日
大会地点：马来西亚-吉隆坡
提交检索：EI Compendex, Scopus
主办单位：马来亚大学
会议详情
第四届电子信息工程与数据处理国际学术会议（EIEDP 2025）将于2025年1月17-19日在马来西亚首都吉隆坡举办。EIEDP 2025聚焦于电子信息技术的最新进展、大数据处理的创新方法、人工智能应用的深入探索、以及物联网技术的前沿趋势，旨在为全球电子信息工程与数据处理领域的专业人士搭建一个高端交流平台。会议将汇集来自世界各地的顶尖学者、行业领导者、研究人员与工程师，共同分享研究成果、交流实践经验、探讨未来挑战与机遇。会议特色拟定包括主题演讲、分论坛报告、以及口头和海报展示，为参会者提供全方位、深层次的学术交流体验。我们特别邀请了多位国际知名专家进行特邀报告，分享他们在各自研究领域的深刻洞察与独到见解。
征稿主题（包括但不限于）
1. 计算机科学
算法
计算机网络
计算机软件
计算伦理
计算机模拟
神经网络
计算机安全
图像处理
人工智能
其他相关主题...
2. 电子信息工程
电力电子技术
通信信号处理
数字信号处理
微波技术与天线
电磁场与电磁波
信号与图像处理
自动控制和智能控制
计算机与网络技术
网络与办公自动化技术
多媒体技术
单片机技术
电子系统设计工艺
电子设计自动化（EDA）技术
其他相关主题
3. 数据处理
数据挖掘
大数据技术与应用
大数据运维
数学与应用科学
信息与计算科学
计算机科学
数据科学与大数据技术
控制科学
系统科学
物联网
计算机控制技术
其他相关主题
论文出版
EIEDP 2025所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，会议所录用论文将以论文集的形式交由SPIE - The International Society for Optical Engineering (ISSN: 0277-786X)出版，出版后提交 EI Compendex, Scopus检索。
参会须知
1、作者参会：一篇录用文章允许一名作者免费参会；
2、主旨报告：可申请主题演讲，由组委会审核；
3、口头报告：可申请口头报告，时间为15分钟；
4、海报展示：可申请海报展示，A1尺寸，彩色打印；
5、听众参会：不投稿仅参会，也可申请演讲及展示；
6、报名参会：https://ais.cn/u/32mQzi
IEEE 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC 2024) will be held in Xiamen, China on December 27-29, 2024.
Conference Website: https://ais.cn/u/JBJFnm
ICAIRC 2024 aims to be the premier global forum for presenting, discussing, and promoting cutting-edge advancements in intelligent robot control systems and wireless communication. With a focus on the integration of artificial intelligence, natural computing, and evolutionary-inspired computing within wireless control systems for telerobotics, the conference seeks to foster international collaboration among industry experts, researchers, and academics. Attendees will have the opportunity to engage with groundbreaking research, participate in in-depth discussions, and utilize extensive networking opportunities, all designed to drive innovation and academic excellence in these dynamic and rapidly evolving fields. The event will feature keynote addresses from eminent industry leaders, interactive sessions, and workshops that encourage forward-thinking and collaborative breakthroughs.
---Call for papers---
The topics of interest for submission include, but are not limited to:
◕ Artificial Intelligence
· Artificial Intelligence Applications & Technologies
· Artificial Neural Networks
· Artificial Intelligence tools & Applications
· Bayesian Networks
· Neuroinformatics
......
◕ Robotics Science and Engineering
· Robot control
· Mobile robotics
· Intelligent pension robots
· Mobile sensor networks
· Perception systems
......
◕ Communication
· Optical Communications
· Wireless Communications and Technologies
· High-Speed Networks
· Communication Software
· Ultra-Wideband Communications
......
---Publication---
All papers, both invited and contributed, the accepted papers, will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 4 pages.
---Important Dates---
Full Paper Submission Date: November 30, 2024
Registration Deadline: December 7, 2024
Full Paper Submission Date: December 14, 2024
Conference Dates: December 27-29, 2024
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
Publisher:
Emerald Publishing
Book Title:
Data Science for Decision Makers: Leveraging Business Analytics, Intelligence, and AI for Organizational Success
Editors:
· Dr. Miltiadis D. Lytras, The American College of Greece, Greece
· Dr. Lily Popova Zhuhadar, Western Kentucky University, USA
Book Description
As the digital landscape evolves, the integration of Business Analytics (BA), Business Intelligence (BI), and Artificial Intelligence (AI) is revolutionizing Decision-Making processes across industries. Data Science for Decision Makers serves as a comprehensive resource, exploring these fields' convergence to optimize organizational success. With the continuous advancements in AI and data science, this book is both timely and essential for business leaders, managers, and academics looking to harness these technologies for enhanced Decision-Making and strategic growth.
This book combines theoretical insights with practical applications, addressing current and future challenges and providing actionable guidance. It aims to bridge the gap between advanced analytical theories and their applications in real-world business scenarios, featuring contributions from global experts and detailed case studies from various industries.
Book Sections and Chapter Topics
Section 1: Foundations of Business Analytics and Intelligence
· The evolution of business analytics and intelligence
· Key concepts and definitions in BA and BI
· Data management and governance
· Analytical methods and tools
· The role of descriptive, predictive, and prescriptive analytics
Section 2: Artificial Intelligence in Business
· Overview of AI technologies in business
· AI for data mining and pattern recognition
· Machine learning algorithms for predictive analytics
· Natural language processing for business intelligence
· AI-driven decision support systems
Section 3: Integrating AI with Business Analytics and Intelligence
· Strategic integration of AI in business systems
· Case studies on AI and BI synergies
· Overcoming challenges in AI adoption
· The impact of AI on business reporting and visualization
· Best practices for AI and BI integration
Section 4: Advanced Analytics Techniques
· Advanced statistical models for business analytics
· Deep learning applications in BI
· Sentiment analysis and consumer behavior
· Realtime analytics and streaming data
· Predictive and prescriptive analytics case studies
Section 5: Ethical, Legal, and Social Implications
· Data privacy and security in AI and BI
· Ethical considerations in data use
· Regulatory compliance and standards
· Social implications of AI in business
· Building trust and transparency in analytics
Section 6: Future Trends and Directions
· The future of AI in business analytics
· Emerging technologies and their potential impact
· Evolving business models driven by AI and analytics
· The role of AI in sustainable business practices
· Preparing for the next wave of digital transformation
Objectives of the Book
· Provide a deep understanding of AI’s role in transforming business analytics and intelligence.
· Present strategies for integrating AI to enhance Decision-Making and operational efficiency.
· Address ethical and regulatory considerations in data analytics.
· Serve as a practical guide for executives, data scientists, and academics in a data-driven economy.
Important Dates
· Chapter Proposal Submission Deadline: 25 November 2024
· Full Chapter Submission Deadline: 31 January 2025
· Revisions Due: 4 April 2025
· Submission to Publisher: 1 May 2025
· Anticipated Publication: Winter 2025
Target Audience
· Business Professionals and Executives: Seeking insights to improve Decision-Making.
· Data Scientists and Business Analysts: Expanding their toolkit with AI and analytics techniques.
· Academic Researchers and Educators: Using it as a resource for teaching and research.
· IT and MIS Professionals: Enhancing their understanding of BI systems and data management.
· Policy Makers and Regulatory Bodies: Understanding the social and regulatory impacts of AI and analytics.
Keywords
· Artificial Intelligence
· Business Analytics
· Business Intelligence
· Data Science
· Decision-Making
Submission Guidelines
We invite chapter proposals that align with the outlined sections and objectives. Proposals should include:
· Title
· Authors and affiliations
· Abstract (200-250 words)
· Keywords
Contact Information
Dr. Miltiadis D. Lytras: miltiadis.lytras@gmail.com
Dr. Lily Popova Zhuhadar: lily.popova.zhuhadar@wku.edu
We are excited to invite researchers and practitioners to submit their work to the upcoming Workshop on Combating Illicit Trade, organized by Working Group 4 of the EU COST Action GLITSS. This workshop will focus on leveraging data science, artificial intelligence (AI), machine learning, and blockchain to address the global challenge of illicit trade.
Scope:
Illicit trade spans a wide range of domains, from trafficking of historical artifacts, human and wildlife trafficking, to environmental crimes. In this workshop, we aim to:
- Address challenges in collecting reliable datasets and developing robust performance measures.
- Explore the use of advanced technologies such as remote sensing, deep learning, network analysis, and blockchain to combat illicit trade.
- Foster collaboration across academia, industry, and policy to innovate and share methodologies for the detection and prevention of illicit trade.
Topics of Interest:
- Machine Learning, Deep Learning, and Reinforcement Learning
- Explainable AI and Computer Vision
- Remote Sensing and Spatial Data Analysis
- Pattern Recognition and Predictive Analytics
- Illicit Trade: Human and Wildlife Trafficking, Artefacts, Cultural Property
- Environmental and Endangered Species Crimes
- Financial and Cyber Crimes
- Drugs, Arms, and Counterfeits
- Blockchain and Cryptography
Important Dates:
- Paper Submission: November 15, 2024
- Authors Notification: January 6, 2025
- Camera Ready and Registration: January 22, 2025
This workshop offers a unique opportunity to contribute to the global fight against illicit trade using cutting-edge technologies. We encourage authors to submit their research and join us in advancing this important field.
For more details on submission guidelines and registration, please visit https://icpram.scitevents.org/DSAIB-IllicitTrade.aspx.
Looking forward to your submissions!
I am experiencing an issue when trying to access the 'text mining' section in the Stitch database. Upon entering this section, which is supposed to display literature sources, no information is loaded.
会议征稿：第四届人工智能、机器人和通信国际会议（ICAIRC 2024）
Call for papers: IEEE 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC 2024) will be held in Xiamen on December 27-29, 2024.
Conference website（English): https://ais.cn/u/3aMje2
重要信息
大会官网(投稿网址）：https://ais.cn/u/3aMje2
大会时间：2024年12月27-29日
大会地点：中国-厦门
收录检索：IEEE Xplore, EI Compendex, Scopus
会议详情
第四届人工智能、机器人和通信国际会议（ICAIRC 2024）定于2024年12月27-29日在中国厦门举行。会议旨在为从事“人工智能、机器人和通信”研究的专家学者、工程技术人员、技术研发人员提供一个共享科研成果和前沿技术，了解学术发展趋势，拓宽研究思路，加强学术研究和探讨，促进学术成果产业化合作的平台。大会诚邀国内外高校、科研机构专家、学者，企业界人士及其他相关人员参会交流。
征稿主题（包括但不限于）
1. 人工智能
人工智能应用与技术
人工神经网络
人工智能工具与应用
贝叶斯网络
神经信息学
机器人
数据挖掘
......
2. 机器人科学与工程
机器人控制
移动机器人
智能养老机器人
移动传感器网络
感知系统
微型机器人和微型操纵
视觉服务
搜索、救援和现场机器人
机器人传感与数据融合
......
3. 通信
光通信
无线通信和技术
高速网络
通信软件
超宽带通信
多媒体通信
密码学和网络安全
绿色通信
移动通信
会议论文出版
ICAIRC 2024所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将由IEEE出版（ISBN号：979-8-3315-3122-5），收录进IEEE Xplore数据库，见刊后由期刊社提交至EI 、SCOPUS收录。
参会方式
—— 每篇录用缴费的文章，允许一名作者免费参会 ——
（1）口头汇报：10-15分钟的全英PPT演讲；
*开放给所有投稿作者与自费参会人员；针对论文或者论文里面的研究做一个10-15min的英文汇报，需要自备PPT，无模板要求，会前根据会议邮件通知进行提交，详情联系会议秘书。
（2）海报展示：自制电子版海报，会议安排展示；
*开放给所有投稿作者与自费参会人员；格式：全英-A1尺寸-竖版，需自制；制作后提交海报图片至会议邮箱icairc@163.com，主题及海报命名格式为：海报展示+姓名+订单号。
（3）仅参会：非投稿作者，现场听众参会。
*仅开放给自费参会人员，（3人及以上）组队参会优惠请联系会议秘书。
（4）报名参会：https://ais.cn/u/3aMje2
Let us share your insights regarding latest trends and developments in text mining research and applications.
2025 2nd International Conference on Informatics Education and Computer Technology Applications (IECA 2025)will be held in Kuala Lumpur, Malaysia during January 17-19, 2025.
Dates: January 17-19, 2025
Venue: Kuala Lumpur, Malaysia
Event Format: Hybrid (In-person and Virtual)
Hosted by: Universiti Teknologi Malaysia
Conference Website: https://ais.cn/u/6JRBZv
---Call for papers---
The topics of interest for submission include, but are not limited to:
Track 1: Educational Data Mining and Learning Analytics
▪ Data-driven approaches to education
▪ Learning analytics and visualization
▪ Educational data mining and machine learning
▪ Big data in education
▪ Personalized learning
▪ Educational decision making
......
Track 2: STEM Education and Computational Thinking
▪ STEM education and pedagogy
▪ Computational thinking and coding education
▪ Robotics and automation in STEM education
▪ Computational modeling and simulation in education
▪ Educational applications of Internet of Things
▪ Digital fabrication and maker education
▪ E-learning platforms and tools
......
Track 3: Emerging Technologies In Education
▪ Web-based Learning
▪ Social Media Analysis and Educational Applications
▪ Technology-Enhanced Learning
▪ Flipped Classroom
▪ Impact of Web Technologies on Education
▪ Web Classroom Applications
......
--- Keynote Speakers---
Prof. Yonghui Li (ARC Future Fellow, Fellow IEEE),The University of Sydney, Australia
Prof. Li Qing (Fellow IEEE),The Hong Kong Polytechnic University, Hongkong, China
Prof. Vladan Devedzic,University of Belgrade, Faculty of Organizational Sciences
Serbian Academy of Sciences and Arts, Serbia
Prof. Dayang N. A. Jawawi,Universiti Teknologi Malaysia, Malaysia
---Publication---
All accepted full papers will be published in the IECA 2025 Conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
---Important Dates---
Full Paper Submission Date: November 1, 2024
Final Paper Submission Date: December 6, 2024
Registration Deadline: January 07, 2025
Conference Dates: January 17-19, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
会议征稿：第四届计算建模、仿真与数据分析国际学术会议(CMSDA 2024)
Call for papers: 2024 4th International Conference on Computational Modeling, Simulation and Data Analysis (CMSDA 2024) will be held during December 6-8, 2024 in Hangzhou, China.
Conference website（English): https://ais.cn/u/iyMvqe
重要信息
大会官网(投稿网址）：https://ais.cn/u/iyMvqe
大会时间：2024年12月06-08日
大会地点：中国-杭州
收录检索：EI、Scopus
主办单位：浙江大学数字沟通中心
会议详情
第四届计算建模、仿真与数据分析国际学术会议(CMSDA 2024)将于2024年12月6-8日即将在中国浙江省杭州市召开。计算建模、仿真与数据分析国际学术会议至今已成功举办三届，吸引了近300名计算机与大数据等领域的专家学者参会，多所国内外高等院校、科研院所、企事业单位团体参会。在即将举行的第四届会议上，我们邀请到学术领域的知名教授将与参会者分享在计算建模、数据挖掘与分析等领域的最新创新和研究成果。
征稿主题(包括但不限于）
一、建模与仿真：模型验证与确认 、智能和专家系统 、计算机网络建模与分析、电路仿真、离散事件和数据仿真 、工业仿真建模 、机器人系统仿真 、物联网建模、教育建模 、材料工程仿真 、电力系统模拟 、模糊建模 、过程仿真与建模、性能评估与建模、移动系统建模
二、数据分析及应用：数据挖掘 、大数据可视化 、计算机仿真 、模型优化 、模型可视化 、建模分析 、线性回归分析 、多模态交互 、深度学习 、数据分类、边缘计算、移动计算
出版信息
所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将由ACM International Conference Proceedings Series出版，见刊后提交至EI Compendex, Scopus检索。往届会议皆已完成检索。
投稿参会网址：https://ais.cn/u/iyMvqe
[CFP]2024 4th International Symposium on Artificial Intelligence and Big Data (AIBFD 2024) - December
AIBDF 2024 will be held in Ganzhou during December 27-29, 2024. The conference will focus on the artificial intelligence and big data, discuss the key challenges and research directions faced by the development of this field, in order to promote the development and application of theories and technologies in this field in universities and enterprises, and provide innovative scholars who focus on this research field, engineers and industry experts provide a favorable platform for exchanging new ideas and presenting research results.
Conference Link:
Topics of interest include, but are not limited to:
◕Track 1：Artificial Intelligence
Natural language processing
Fuzzy logic
Signal and image processing
Speech and natural language processing
Learning computational theory
......
◕Track 2：Big data technology
Decision support system
Data mining
Data visualization
Sensor network
Analog and digital signal processing
......
Important dates:
Full Paper Submission Date: December 23, 2024
Registration Deadline: December 23, 2024
Conference Dates: December 27-29, 2024
Submission Link:
[CFP]2024 2nd International Conference on Information Education and Artificial Intelligence (ICIEAI 2024) - December
The conference will focus on information-based education, artificial intelligence and other research fields, and invite experts and scholars to introduce research on how artificial intelligence in education can help society meet its needs of providing inclusive and fair high-quality education and promoting lifelong learning for all. The conference will focus on how AI shapes and can shape education in all walks of life, how to advance the science and engineering of AI-assisted interactive learning systems, and how to promote widespread adoption. Discuss how novel research ideas can meet practical needs to build an effective ecosystem of AI-assisted human technologies that support learning. This conference will provide an authoritative international exchange platform for researchers in related fields, promote good academic exchanges among scholars in related fields, and promote the development and application of theories and technologies in this field in universities and enterprises. Participants establish business or research contacts and find global partners for future careers.
Conference Link:
Topics of interest include, but are not limited to:
◕Information Education
○ Educational Science
○ Internet + Education
○ Distance Education
○ Smart education
○ Active learning
○ learning model
......
◕Artificial Intelligence
○ Artificial Intelligence Technology and Application
○ AI and Education
○ Educational Data Mining
○ Machine Perception and Virtual Reality
○ cognitive science
......
Important dates:
Full Paper Submission Date: October 30, 2024
Registration Deadline: December 9, 2024
Conference Dates: December 20-22, 2024
Submission Link:
About the subject:
Designing a customer creating, validation and rating system with a data mining approach
Is there anyone who can state some hypotheses?
Why do you think it is important to design a system of crediting, validating and rating customers with a data mining approach?
What is the benefit?
Hi,
I am a PhD student in Marketing Management, looking for a remote research assistant position or collaboration opportunities. I want to deepen my applied knowledge in Analysis of consumer behavior and explore its applications in various fields.
I am familiar with Digital marketing and KPIs Analysis but am also eager to learn how data mining is applied in areas such as consumer behavior, Customer clustering, and Retention Marketing.
If there are any available opportunities, I would love to contribute and expand my expertise.
If someone is willing to work on the topic, I will collect Data from Iran and he/she will collect his own country. Write an article, send a message and announce Email: Zarandi@ut.ac.ir
I am looking to do research on the role of data mining in digital marketing.
hello
I want to do research on the use of data mining in customer clustering.
Is there anyone we can work with?
IEEE 2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE 2024) will be held on September 20-22, 2024 in Wenzhou, China.
Conference Website: https://ais.cn/u/EJfuqi
---Call for papers---
The topics of interest include, but are not limited to:
· Big Data Analysis
· Deep Learning、Machine Learning
· Artificial Intelligence
· Pattern Recognition
· Data Mining
· Cloud Computing Technologies
· Internet of Things
· AI Applied to the IoT
· Clustering and Classificatio
· Soft Computing
· Natural Language Processing
· E-commerce and E-learning
· Wireless Networking
· Network Security
· Big Data Networking Technologies
· Graph-based Data Analysis
· Signal Processing
· Online Data Analysis
· Sequential Data Processing
--- Publication---
All papers, both invited and contributed, the accepted papers, will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing.
---Important Dates---
Full Paper Submission Date: July 10,2024
Registration Deadline: August 5, 2024
Final Paper Submission Date: August 20, 2024
Conference Dates: September 20-22, 2024
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
会议征稿：2024年智能计算与数据挖掘国际学术会议 (ICDM 2024)
Call for papers: 2024 International Conference on Intelligent Computing and Data Mining (ICDM 2024) will be held on September 20-22, 2024 in Chaozhou, China.
重要信息
大会官网(投稿网址）：https://ais.cn/u/AFBBfq
大会时间：2024年9月20-22日
大会地点：中国-潮州
收录检索：EI Compendex，Scopus
智能计算与数据挖掘是当今信息技术领域的研究热点，并在众多领域都有着广泛的应用，如金融、医疗、教育、交通等。随着大数据时代数据量爆炸式增长，如何从海量数据中提取有价值的信息，一直是需要迭代解决的问题。2024年智能计算与数据挖掘国际学术会议（ICDM 2024）为探讨相关问题提供一个平台，各位专家学者将深入探讨最新研究成果，通过对数据的分析和处理，提供智能化的决策支持，讨论在面对复杂问题时，如何运用数据驱动的方法，通过分析数据背后的规律和关联，找到问题的本质和解决方案，欢迎广大学者踊跃参会交流。
会议征稿主题
智能计算：遗传算法、进化计算与学习、群智能与优化、独立成分分析、自然计算、量子计算、神经网络、模糊理论与算法、普适计算、机器学习、深度学习、自然语言处理、智能控制与自动化、智能数据融合、智能数据分析与预测等。
数据挖掘：网络挖掘、数据流挖掘、并行和分布式算法、图和子图挖掘、大规模数据挖掘方法、文本、视频和多媒体数据挖掘、可扩展数据预处理、高性能数据挖掘算法、数据安全和隐私、电子商务的数据挖掘系统等。
*其他相关主题亦可
论文投稿
ICDM 2024所征稿件会经由2-3位组委会专家审稿，最终所录用的论文将以IEEE出版，收录进IEEE Xplore数据库，见刊后由期刊社提交至EI Compendex和Scopus检索。
参会须知
ICDM 2024的参会设有口头演讲/海报展示/听众三种形式，可点击以下链接报名参会，在会后领取参会证书：https://ais.cn/u/AFBBfq
1、口头演讲：申请口头报告，时间为10-15分钟左右
2、海报展示：制作A1尺寸彩色海报，线上/线下展示
3、听众参会：不投稿仅参会，可与现场嘉宾/学者进行交流互动
4、汇报PPT和海报，请于会议前一周提交至大会邮箱 （icicdm@163.com）
5、论文录用后可享一名作者免费参会名额
Dear Colleagues,
The Faculty of Computer Science, Universitas Singaperbangsa Karawang, Karawang, Indonesia, proudly presents:
The 1st International Conference on Network, Information Technology, and Computer Science of Singaperbangsa (ICONICSS 2024)
🗓️ 03 October 2024
🏠 Hybrid conference combining both online participation through virtual meetings and in-person attendance in Bandung, West Java, Indonesia.
Theme:
"The Impact of Digital Innovation on Advancing Sustainable Development Objectives"
Opening Speaker:
Prof. Ade Maman Suherman, S.H., M.Sc. (Rector of Universitas Singaperbangsa Karawang)
Keynote Speakers:
1. Prof. João Saraiva (Green Software Laboratory, Universidade do Minho, Braga, Portugal)
2. Prof. Ir. Teddy Mantoro, M.Sc., Ph.D. (Senior Member, IEEE, Professor of Computer Science, Sampoerna University, Indonesia)
3. Prof. Anton Satria Prabuwono, Ph.D. (Professor at the Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University)
We invite all academicians and professionals to participate in this conference. Accepted articles will be processed and published in International Proceeding indexed by SCOPUS after reviewing the process.
ICONICSS 2024 accepts full papers in these areas, but not limited to:
* Artificial Intelligence
* Augmented and Virtual Reality
* Bioinformatics
* Big Data
* Cloud Computing
* Computational Modeling
* Computer Graphics
* Computing in Medicine and Biology
* Computing in Social Sciences
* Computer Optimization
* Computer Vision
* Data Communication Networking
* Data Mining
* Decision Support Systems
* Digital Image Processing
* Distributed Systems
* E-Commerce
* E-Government
* E-Health
* Embedded Systems
* Geographic Information Systems
* High-Performance Computing
* Human-Computer Interaction
* Information Retrieval
* Information Security
* Information Systems
* Internet of Things
* IT Governance
* Linked Data
* Machine Learning
* Natural Language Processing
* Numerical Analysis in Science & Engineering
* Semantic Web
* Socio-Informatics
* Soft Computing
* Software Engineering
* Smart City
* Speech Recognition
* User Experience and Design
* Wireless Sensor Networks
Important Dates - Times in UTC:
🗓️ 25 May 2024 (Abstract Submission Opens)
🗓️ 17 July 2024 (Abstract Submission Deadline)
🗓️ 20 July 2024 (Acceptance Notification)
🗓️ 31 July 2024 (Payment Deadline)
🗓️ 17 August 2024 (Full Paper Submission)
🗓️ 03 October 2024 (Conference Day)
For further information and to register:
🌐 [ICONICSS Website](https://iconicss.unsika.ac.id/)
Contact Persons:
📞 Ratna Mufidah, M.Kom. (085215957346)
📞 Mina (https://s.id/iconicss_group)
Please share this event!
My expertise in computer science is exclusively in data mining and medical datasets.
I am interested in working in a research group remotely and without salary (only for conducting research and writing articles).
Is anyone interested in having me in their research group?
Recently, I discovered the dimension of the SOM network do turn out to be the number of data clusters for data clustering or image segments when used for image segmentation.
For example, if the dimension of the SOM is 7 x 7, then the number of clusters(segments) would be 49, if the dimension of 2 x 1, then the number of clusters(segments) would be 2.
1. Therefore, are there techniques for determining the dimension?
2. What should be the basis/yard stick for picking the dimension?
3. If the knowledge of the data is the basis/yard stick for picking the dimension, is that not a version of K-means??
2024 5th International Conference on Computer Vision and Data Mining(ICCVDM 2024) will be held on July 19-21, 2024 in Changchun, China.
Conference Webiste: https://ais.cn/u/ai6bQr
---Call For Papers---
The topics of interest for submission include, but are not limited to:
◕ Computational Science and Algorithms
· Algorithms
· Automated Software Engineering
· Computer Science and Engineering
......
◕ Vision Science and Engineering
· Image/video analysis
· Feature extraction, grouping and division
· Scene analysis
......
◕ Software Process and Data Mining
· Software Engineering Practice
· Web Engineering
· Multimedia and Visual Software Engineering
......
◕ Robotics Science and Engineering
Image/video analysis
Feature extraction, grouping and division
Scene analysis
......
All accepted papers will be published by SPIE - The International Society for Optical Engineering (ISSN: 0277-786X), and submitted to EI Compendex, Scopus for indexing.
Important Dates:
Full Paper Submission Date: June 19, 2024
Registration Deadline: June 30, 2024
Final Paper Submission Date: June 30, 2024
Conference Dates: July 19-21, 2024
For More Details please visit:
2024 4th International Conference on Computer, Remote Sensing and Aerospace (CRSA 2024) will be held at Osaka, Japan on July 5-7, 2024.
Conference Webiste: https://ais.cn/u/MJVjiu
---Call For Papers---
The topics of interest for submission include, but are not limited to:
1. Algorithms
Image Processing
Data processing
Data Mining
Computer Vision
Computer Aided Design
......
2. Remote Sensing
Optical Remote Sensing
Microwave Remote Sensing
Remote Sensing Information Engineering
Geographic Information System
Global Navigation Satellite System
......
3. Aeroacoustics
Aeroelasticity and structural dynamics
Aerothermodynamics
Airworthiness
Autonomy
Mechanisms
......
All accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.
Important Dates:
Full Paper Submission Date: May 31, 2024
Registration Deadline: May 31, 2024
Conference Date: July 5-7, 2024
For More Details please visit:
Invitation code: AISCONF
*Using the invitation code on submission system/registration can get priority review and feedback
I m currently doing a research on Data mining in Digital marketing and will like to get your opinion
1. The effects of mining and its impact in digital marketing
2. Does mining artificially alter organizations marketing campaign and if yes what are the pros and cons. if no, please state your reason or observations
3. is data mining the future of digital marketing, will mining determine the profitability of organizations in the nearest future.
4. Any other advise on this topic to aid my research.
the most prominent commercial data mining software applications currently available to fraud examiners to assist with investigations?
2024 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2024) will be held on June 28- June 30, 2024 in Zhuhai China.
MLISE is conducting exciting series of symposium programs that connect researchers, scholars and students to industry leaders and highly relevant information. The conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. MLISE propose new ideas, strategies and structures, innovating the public sector, promoting technical innovation and fostering creativity in development of services.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
1. Machine Learning
- Deep and Reinforcement learning
- Pattern recognition and classification for networks
- Machine learning for network slicing optimization
- Machine learning for 5G system
- Machine learning for user behavior prediction
......
2. Intelligent Systems Engineering
- Intelligent control theory
- Intelligent control system
- Intelligent information systems
- Intelligent data mining
- AI and evolutionary algorithms
......
All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of MLISE 2024 will be published in the MLISE 2024 Conference Proceedings by IEEE (ISBN: 979-8-3503-7507-7), which will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.
Important Dates:
Submission Deadline: April 26, 2024
Registration Deadline: May 26, 2024
Conference Dates: June 28-30, 2024
For More Details please visit:
Invitation code: AISCONF
*Using the invitation code on submission system/registration can get priority review and feedback
I m currently doing a research on Data mining in Digital marketing and will like to get your opinion
1. The effects of mining and its impact in digital marketing
2. Does mining artificially alter organizations marketing campaign and if yes what are the pros and cons. if no, please state your reason or observations
3. is data mining the future of digital marketing, will mining determine the profitability of organizations in the nearest future.
4. Any other advise on this topic to aid my research.
2024 IEEE 7th International Conference on Computer Information Science and Application Technology (CISAT 2024) will be held on July 12-14, 2024 in Hangzhou, China.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
◕ Computational Science and Algorithms
· Algorithms
· Automated Software Engineering
· Bioinformatics and Scientific Computing
......
◕ Intelligent Computing and Artificial Intelligence
· Basic Theory and Application of Artificial Intelligence
· Big Data Analysis and Processing
· Biometric Identification
......
◕ Software Process and Data Mining
· Software Engineering Practice
· Web Engineering
· Multimedia and Visual Software Engineering
......
◕ Intelligent Transportation
· Intelligent Transportation Systems
· Vehicular Networks
· Edge Computing
· Spatiotemporal Data
All papers, both invited and contributed, the accepted papers, will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 4 pages.
Important Dates:
Full Paper Submission Date: April 14, 2024
Submission Date: May 12, 2024
Registration Deadline: June 14, 2024
Conference Dates: July 12-14, 2024
For More Details please visit:
Invitation code: AISCONF
*Using the invitation code on submission system/registration can get priority review and feedback
2024 5th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2024) will be held in Shenzhen, China, from June 14 to 16, 2024.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
(1) Artificial Intelligence
- Intelligent Control
- Machine learning
- Modeling and identification
......
(2) Sensor
- Sensor/Actuator Systems
- Wireless Sensors and Sensor Networks
- Intelligent Sensor and Soft Sensor
......
(3) Control Theory And Application
- Control System Modeling
- Intelligent Optimization Algorithm and Application
- Man-Machine Interactions
......
(4) Material science and Technology in Manufacturing
- Artificial Material
- Forming and Joining
- Novel Material Fabrication
......
(5) Mechanic Manufacturing System and Automation
- Manufacturing Process Simulation
- CIMS and Manufacturing System
- Mechanical and Liquid Flow Dynamic
......
All accepted papers will be published in the Conference Proceedings, which will be submitted for indexing by EI Compendex, Scopus.
Important Dates:
Full Paper Submission Date: April 1, 2024
Registration Deadline: May 31, 2024
Final Paper Submission Date: May 14, 2024
Conference Dates: June 14-16, 2024
For More Details please visit:
Invitation code: AISCONF
*Using the invitation code on submission system/registration can get priority review and feedback
2024 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024) will be held from April 26 to 28, 2024, in Nanchang, China.
It is a comprehensive conference which focuses on Biomedical Engineering and Artificial Intelligent Systems. The main objective of IC-BIS 2024 is to address and deliberate on the latest technical status and recent trends in the research and applications of Biomedical Engineering and Bioinformatics. IC-BIS 2024 provides an opportunity for the scientists, engineers, industrialists, scholars and other professionals from all over the world to interact and exchange their new ideas and research outcomes in related fields and develop possible chances for future collaboration. The conference also aims at motivating the next generation of researchers to promote their interests in Biomedical Engineering and Artificial Intelligent Systems.
Important Dates:
Registration Deadline: March 26, 2024
Final Paper Submission Date: April 22, 2024
Conference Dates: April 26-28, 2024
---Call For Papers---
The topics of interest for submission include, but are not limited to:
- Biomedical Signal Processing and Medical Information
· Biomedical signal processing
· Medical big data and machine learning
· Application of artificial intelligent for biomedical signal processing
......
- Bioinformatics & Intelligent Computing
· Algorithms and Software Tools
· Algorithms, models, software, and tools in Bioinformatics
· Biostatistics and Stochastic Models
......
- Gene regulation, expression, identification and network
·High-performance computational systems biology and parallel implementations
· Image Analysis
· Inference from high-throughput experimental data
......
For More Details please visit:
I am trying to train a CNN model in Matlab to predict the mean value of a random vector (the Matlab code named Test_2 is attached). To further clarify, I am generating a random vector with 10 components (using rand function) for 500 times. Correspondingly, the figure of each vector versus 1:10 is plotted and saved separately. Moreover, the mean value of each of the 500 randomly generated vectors are calculated and saved. Thereafter, the saved images are used as the input file (X) for training (70%), validating (15%) and testing (15%) a CNN model which is supposed to predict the mean value of the mentioned random vectors (Y). However, the RMSE of the model becomes too high. In other words, the model is not trained despite changing its options and parameters. I would be grateful if anyone could kindly advise.
Can any one suggest this topic is better for PhD work or not. Topic is "Study on the Data Mining Techniques in Healthcare Sector with emphasis on Breast Cancer".
What are the possibilities of applying generative AI in terms of conducting sentiment analysis of changes in Internet users' opinions on specific topics?
What are the possibilities of applying generative artificial intelligence in carrying out sentiment analysis on changes in the opinions of Internet users on specific topics using Big Data Analytics and other technologies typical of Industry 4.0/5.0?
Nowadays, Internet marketing is developing rapidly, including viral Internet marketing used on social media sites, among others, in the form of, for example, Real-Time marketing in the formula of viral marketing. It is also marketing aimed at precisely defined groups, audience segments, potential customers of a specific advertised product and/or service offering. In terms of improving Internet marketing, new ICT information technologies and Industry 4.0/5.0 are being implemented. Marketing conducted in this form is usually preceded by market research conducted using, among other things, sentiment analysis of the preferences of potential consumers based on verification of their activity on the Internet, taking into account comments written on various websites, Internet forums, blogs, posts written on social media. In recent years, the importance of the aforementioned sentiment analysis carried out on large data sets using Big Data Analytics has been growing, thanks to which it is possible to study the psychological aspects of the phenomena of changes in the trends of certain processes in the markets for products, services, factor markets and financial markets. The development of the aforementioned analytics makes it possible to study the determinants of specific phenomena occurring in the markets caused by changes in consumer or investor preferences, caused by specific changes in the behavior of consumers in product and service markets, entrepreneurs in factor markets or investors in money and capital markets, including securities markets. The results from these analyses are used to forecast changes in the behavior of consumers, entrepreneurs and investors that will occur in the following months and quarters. In addition to this, sentiment analyses are also conducted to determine the preferences, awareness of potential customers, consumers in terms of recognition of the company's brand, its offerings, description of certain products and services, etc., using textual data derived from comments, entries, posts, etc. posted by Internet users, including social media users on a wide variety of websites. The knowledge gained in this way can be useful for companies to plan marketing strategies, to change the product and service offerings produced, to select or change specific distribution channels, after-sales services, etc. This is now a rapidly developing field of research and the possibilities for many companies and enterprises to use the results of this research in marketing activities, but not only in marketing. Recently, opportunities are emerging to apply generative artificial intelligence and other Industry 4.0/5.0 technologies to analyze large data sets collected on Big Data Analytics platforms. In connection with the development of intelligent chatbots available on the Internet, recently there have been discussions about the possibilities of potential applications of generative artificial intelligence, 5G and other technologies included in the Industry 4.0/5.0 group in the context of using the information resources of the Internet to collect data on citizens, companies, institutions, etc. for their analysis carried out using, among other things, sentiment analysis to determine the opinion of Internet users on certain topics or to define the brand recognition of a company, the evaluation of product or service offerings by Internet users. In recent years, the scope of applications of Big Data technology and Data Science analytics, Data Analytics in economics, finance and management of organizations, including enterprises, financial and public institutions is increasing. Accordingly, the implementation of analytical instruments of advanced processing of large data sets in enterprises, financial and public institutions, i.e. the construction of Big Data Analytics platforms to support organizational management processes in various aspects of operations, including the improvement of customer relations, is also growing in importance. In recent years, ICT information technologies, Industry 4.0/5.0 including generative artificial intelligence technologies are particularly rapidly developing and finding application in knowledge-based economies. These technologies are used in scientific research and business applications in commercially operating enterprises and in financial and public institutions. In recent years, the application of generative artificial intelligence technologies for collecting and multi-criteria analysis of Internet data can significantly contribute to the improvement of sentiment analysis of Internet users' opinions and the possibility of expanding the applications of research techniques carried out on analytical platforms of Business Intelligence, Big Data Analytics, Data Science and other research techniques using ICT information technology, Internet and advanced data processing typical Industry 4. 0/5.0. Most consumers of online information services available on new online media, including social media portals, are not fully aware of the level of risk of sharing information about themselves on these portals and the use of this data by technological online companies using this data for their analytics. I am conducting research on this issue. I have included the conclusions of my research in scientific publications, which are available on Research Gate. I invite you to cooperate with me.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the possibilities for the application of generative AI in terms of conducting sentiment analysis of changes in the opinions of Internet users on specific topics using Big Data Analytics and other technologies typical of Industry 4.0/5.0?
What are the possibilities of using generative AI in conducting sentiment analysis of Internet users' opinions on specific topics?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
I have described the key issues of opportunities and threats to the development of artificial intelligence technologies in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Dariusz Prokopowicz
Hello there, I am in the search for datasets of software's requirements and their use cases, in hope to be able to gather datasets of use case for the requirements to train a ML model for a research we're working on. Would anyone know any source to find such datasets ?
I want to analyze the research problem in education data mining, with machine learning algorithms, I want to build a model that suggest school students which domain to select for higher education, with evaluating the dataset of student as well as the dataset of higher education of the same student.
I am interested to get depper to the connection between data analysis methods and information visualization that can be generated by this data analysis. For example, data clustering (in data mining) produces a certain kind of information. Which visualization method could be used to best visualize the produced information and why?
I have found this http://www.visual-literacy.org/periodic_table/periodic_table.html which very good on depicting the different visualization methods but lacks explaining to what data analysis method each one of them it is connected.
Any recommended good source?
Thanks
Please suggest new research topic new computer science in data mining using machine learning
Dear Pushpraj Singh,
I give my proposal for a research topic, research thesis, thesis concept in the area of your interest:
Research Context: In recent years, the scale of various economic, financial, social, health, food, energy, nature, climate, etc. crises is increasing. As a result, the importance of improving crisis management techniques and using new ICT information technologies and Industry 4.0 for this purpose is growing. The importance of improving risk management processes using new Industry 4.0 technologies, including but not limited to i.e. Big Data Analytics and Artificial Intelligence, is also growing.
Accordingly, the research topic may address the following issue: The application of selected ICT information technologies, Industry 4.0, the technologies of the current fourth technological revolution, including Big Data Analytics, machine learning, deep learning, artificial intelligence to improve risk management systems, early warning systems within the framework of crisis management, and the improvement of forecasting models used to predict abnormal situations, events of special risk increases, emergencies, specific types of disasters, etc.
I would like to invite you to join me for scientific cooperation on this issue,
Kind regards,
Dariusz Prokopowicz
Compared to the old-fashioned and currently used emulsion type explosives, the explosive filling of the tunnel face with bulk charging provides better and higher quality vibration values. if you are drilling in the tunnel face with the Mwd (measurement while drilling) featured jumbo. Because with the mwd-capable machine, heterogeneous drilling is performed in the formation whose face surface is uneven and the drilling lengths are different. Therefore, a homogeneous charge in a heterogeneous face with an emulsion-type explosive of constant kilogram will be difficult. Therefore, I think that more stable vibration data will be obtained with bulk charging. What is your opinion?
I created my own huge dataset from different sites and labeled it on some NLP task. How can i publish it in form of Paper or article and where?
Hello everyone,
I want to find emerging pattern of blockchain applications in cybersecurity . I’ve collected and filtered my dataset which now consists of 1183 research items indexed in WoS and scopus. Which text mining algorithms can fulfill the purpose?
I found burst detection and LDA suitable but as a tourism student i want to know about other possibilities and the suggestions of professionals.
Best wishes.
Hello everyone, I’m currently working on my masters thesis in which I want to find current and future application patterns of a technology in an industry based on previous researchers done regarding the topic by analyzing the tittle, abstract, conclusion and implications of these article if it is even possible but I’m not sure which data mining method and algorithm should I use to get the best possible results. It would be great if you could give me advices and feedbacks.
Best regards.
My team and I are trying to open a dialogue about designing a Continuum of Realism for synthetic data. We want to develop a meaningful way to talk about data in terms of the degree of realism that is necessary for a particular task. We feel the way to do this is by defining a continuum that shows that as data becomes more realistic, the analytic value increases, but so does the cost and risk of disclosure. Everyone seems to be interested in generating the most realistic data, but let's be honest, sometimes that's not the level of realism that we actually need. It is expensive and carries a high reidentification risk when working with PII. Sometimes we just need data to test our code, and we can't justify using this level of realism when the risk is so high. Have you also encountered this issue? Are you interested in helping us fulfill our mission? Ultimately we are trying to save money and protect consumer privacy. We would love to hear your thoughts!
It will be for a data mining research that the objective is to classify the best time of day for the operation of the wind farm.
I would need a (tabular, i.e. not imaging or text) dataset with a hierarchically structured outcome to use as an example dataset in a new R package (but the dataset can be of any format, e.g. txt, csv or arff). It should be single-label and tree-structured, e.g. first level: classes 1, ..., 4, second level: 1.1, 1.2, 1.3, 2.1,2.2, third level: 1.1.1, 1.1.2, 1.2.1, 1.2.2, 1.2.3, 1.3.1, 1.3.2., ... .
I want to develop a research about higher school dropout and would like some help on this topic.
The data that is obtained from the institution database is to analyze the GPA and CGPA of 1000 students. The attributes obtained are demographic but no behavioral, income, etc. What type of data mining technique can be used to analyze this type of attributes and obtain patterns from the analysis?
Please do give reference in regards to how the techniques can be applied.
Thank you! Appreciate it.
Hello dear researchers,
I've just accepted in doctoral program with data approximately consisted of thousands observations. I am planning on data mining first to explore, classify, associate, and detecting anomaly. I used to work with Stata and wondering if stata can do such things. Do you have any suggestions about reference that connecting Stata and data mining?
Hi,
Most of the researchers knew R Views website which is:
Please, I am wondering if this website contains all R packages available for researchers.
Thanks & Best wishes
Osman
I am completely new to WEKA and I am trying to load this file that I got from kaggle to WEKA but is meet with error. How do I find the solution to change the format of .crv to ARFF file.
this is where I got the file, and I have cleaned the extra columns
Thank you very much.
my topic is the " fraud detection in banking sector by using data mining techniques " so i am looking for the data set in banking and how t use that data set.
The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing:
Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.
Which of these technologies are applicable or will be used in the future in the education process?
Please reply
Best wishes
Hi everyone,
I am facing this problem in my MA thesis:
I have two time series datasets. The first dataset has numerical features and the second one has binary variables. I found in the literature these three methods that are able to determine the correlation between the two datasets:
- logistic regression
-biserial point correlation
- Kruskal Wallis H test
Unfortunately, I could not find out if these methods are still applicable when the data are time series? I would appreciate some advice/explanations to figure this out :)
another question would be if I can use one of these methods, are there any limitations if my continuous variable is nonlinear?
Thanks in advance for your help :)
PS
both my datasets are stationary
# Data mining #correlation #time series analysis
What do you consider are the implications of Big Data on urban planning practice?
Good evening dear researchers,
I have a data set from KEGG database. it is in CSV format. I was trying to convert it into arff format using WEKA for further analysis.
It keeps giving me an error saying that it is not recognized by WEKA as a csv file. I searched for it, then I found that the file needs to be cleansed and put into a suitable data structure for it to be valid and ready to be analyzed.
unfortunately, I do not have the ability or the knowledge now to do that and I need it as soon as possible.
Can anyone help with the problem? thank you so much for your time.
kind regards.
attachments:
-data set csv file.
-error png clip.
We are looking at the application of data mining in water quality space. There are several articles to begin with and refer, and it is a bit confusing. Trying to narrow down the scope.
Hi everyone, well the thing is im trying to apply spatial data mining to a set of vector and raster files so i need a way to convert my raster archives into a csv in order to run the mining
A little bit of background, my thesis is about applying data mining in archeology with the intention of modeling archaeological sites, currently im struggling to convert the rasters in csv to run the data mining
Could you please recommend to me a package or tool for the drop3 instance selection method?
Well,
I am a very curious person. During Covid-19 in 2020, I through coded data and taking only the last name, noticed in my country that people with certain surnames were more likely to die than others (and this pattern has remained unchanged over time). Through mathematical ratio and proportion, inconsistencies were found by performing a "conversion" so that all surnames had the same weighting. The rest, simple exercise of probability and statistics revealed this controversial fact.
Of course, what I did was a shallow study, just a data mining exercise, but it has been something that caught my attention, even more so when talking to an Indian researcher who found similar patterns within his country about another disease.
In the context of pandemics (for the end of these and others that may come)
I think it would be interesting to have a line of research involving different professionals such as data scientists; statisticians/mathematicians; sociology and demographics; human sciences; biological sciences to compose a more refined study on this premise.
Some questions still remain:
What if we could have such answers? How should Research Ethics be handled? Could we warn people about care? How would people with certain last names considered at risk react? And the other way around? From a sociological point of view, could such a recommendation divide society into "superior" or "inferior" genes?
What do you think about it?
=================================
Note: Due to important personal matters I have taken a break and returned with my activities today, February 13, 2023. I am too happy to come across many interesting feedbacks.
Dear all,
Why forward selection search is very popular and widely used in FS based on mutual information such as MRMR, JMI, CMIM, and JMIM (See )? Why other search approaches such as the beam search approach is not used? If there is a reason for that, kindly reply to me.
Data mining has a broad discussion of how to manipulate data mining on other algorithms.
How can I distinctively differentiate between 'data mining', 'data analysis', and 'data analytics'?
Is there any example to add, towards proper understanding of the differences?
Thank you!
One of my master students is currently conducting a preliminary study to find out the maturity of the Cross Industry Standard Process for Big Data (CRISP4BigData) for use in Big Data projects. I would like to invite all scientists, Big Data experts, project managers, data engineers, data scientists from my network to participate in the following survey. Feel free to share!
I'm an undergraduate doing a Software Engineering degree. I'm looking for a research topic for my final year project. If anyone has any ideas or research topics or any advice on how or where to find one please post them.
Thanks in advance ✌
Hi, Could you please guide me how to conduct Latent Semantic Analysis through text mining for my business research, any website, book or tutorial videos? so I can apply this method for my research project. Thanks in advance. Kind regards Bushra Aziz
Hi,
Thank you for help.
How to make the scheduling process in CloudSim an environment for my reinforcement learning model ?
I am looking for a justification to associate data mining with big data analytics, however, many researches have observed that in addition to the characteristics of the data, there is a line of thought that guides a question of taxonomy, that is, data mining is a step in the big data analytics, can I think of it this way? Or is there something I'm not considering?
