Kamlesh Kumar

Sindh Madressatul Islam University · Department of Computer Studies

The widespread use of mobile devices has made it possible to gather large amounts of crowdsourced educational data, which presents new possibilities for improving mobile application recommendation algorithms. This article explores the efficient use of this data to enhance recommendation algorithms through the application of machine learning and dee...

There are two key distinctions between cloud and on-premise (OP) software, the cost for each varies and so does the level of control. As organizations explore to reduce costs, many data and rules are migrating to multiple clouds like GCP, AWS, AZURE, and so on. Cloud service providers provide the extensibility, resilience, and quickness that tradit...

Online transactions are still the backbone of the financial industry worldwide today. Millions of consumers use credit cards for their daily transactions, which has led to an exponential rise in credit card fraud. Over time, many variations and schemes of fraudulent transactions have been reported. Nevertheless, it remains a difficult task to detec...

Acute Lymphoblastic Leukemia is one of the fatal types of disease which causes a high mortality rate among children and adults. Traditional diagnosing of this disease is achieved through analyzing the microscopic images of white blood cells by a clinical pathologist. However, this procedure relies on manual observation and often provides inaccurate...

This research study focuses the cross-domain aspect-based sentiment analysis (CD-ABSA) for existing source domain annotation data. The CD-ABSA tries to use the valuable information in a source domain to extract aspect terms and evaluate their sentiment polarities in a target domain. It can considerably increase the usage of the source domain annota...

Online transactions are the backbone of the financial industry globally. Millions of people are using credit cards daily, which has led to an exponential rise in their daily life that has led to an exponential rise in credit card frauds. With the passage of time, many variations and schemes of fraudulent transactions have been occurring. Real-time...

The availability of several websites requires substantial techniques to grasp the user's attention to their website. Search Engine is vital in providing the user with relevant site pages. Popular search engines, such as Google, use web crawlers and ranking algorithms, such as PageRank Algorithm, to rank the site pages based on content quality metri...

The optimization method with the genetic algorithm (GA) is well-known in different science fields. The crossover is the primary important operand of the genetic algorithm, so many researchers worked with this operand to get the optimal solutions. This article presents a new crossover operand for the genetic algorithm by supposing a new organization...

Various open-source and commercial tools are available in the mobile software market today. The mobile application developers face many challenges to the quality and characteristics of the mobile application. Those mobile applications require continuous integration for delivery to develop software applications. Software Quality Assurance (SQA) The...

Over the last decade, there has been an exponential growth in high-performance computing. Computing such as cloud and fog computing is gaining popularity, whereas, Cloud computing is a computing organization where a large number of systems are connected to the internet for application, data, and storage services. Quantum computing is the use of qua...

We, the Publisher, have retracted the following article: Faiz Ullah, Kamlesh Kumar, Mansoor Ahmed Khuhro, Asif Ali Laghari, Asif Ali Wagan, Umair Saeed (2022). An Efficient Algorithm for Image De-noising by using Adaptive Modified Decision Based Median Filters [EAI Endorsed Scal Inf Syst. http://dx.doi.org/10.4108/eai.27-1-2022.173163 The authors...

This paper proposes a novel machine learning approach to genetic variant classification based on un-supervised learning. During the past few years many lives have been lost due to genetic diseases and the inability to identify them. The genetic disorder is mainly because of the alteration in the common DNA nucleotide sequence. Benign and pathogenic...

DNA stands for deoxyribonucleic acid it contains units of biological building blocks called nucleotides. Genome contributes to the differences in the body, especially human’s eye, and blood types. This genetic information, along with the other forms of replicating genetic information in the human body is encoded in Deoxyribonucleic acid (DNA) or Ri...

This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173796. INTRODUCTION: In image processing noise removal is a hot research field. Lots of studies have been carried out and many algorithms and filters have been planned to improve the image information. There are various noise remo...

Deep Neural Network (DNN) contains many layers of neurons, which provides better performance in terms of accuracy over a large dataset of images based on the DNN's artificial sense of recognition. The Deep Convolutional Neural Network (CNN) architecture is based on multiple convolutional layers of neurons and each neuron in a layer is designed towa...

INTRODUCTION: In these days, the usage of smart-phones and wearable sensors have increased at an exceptional rate. These smart devices are equipped with different sensors such as gyroscope, accelerometer and GPS. By using these sensors to analyze the activity of the end-user, behavioural characteristics of the user can be captured.OBJECTIVES: Altho...

With the arrival of the Internet of Things (IoT) many devices such as sensors, nowadays can communicate with each other and share data easily. However, the IoT paradigm is prone to security concerns as many attackers try to hit the network and make it vulnerable. In this scenario, security concerns are the most important and to address them various...

A wireless network is used to connect various wired organizational structures and provide connectivity within the organization for employees to move freely by avoiding the hurdle of a physical network. Maintenance of WLAN security is crucial to an organization because WLANs are directly linked to the core organization’s network. In this paper, we r...

Azure SQL and Atlas Mongodb NoSQL(Azure instance) databases are the most popular, systematic process to database solutions. Which Azure SQL database is also referred to as RDBMS (Relational Database Management Systems). The data are structured into tables or associations. The Atlas Mongodb NoSQL database is called a non-relational database manageme...

Nowadays, educational data mining is being employed as assessing tool for study and analysis of hidden patterns in academic databases which can be used to predict student’s academic performance. This paper implements various machine learning classification techniques on students’ academic records for results predication. For this purpose, data of M...

This review paper compares the various disk scheduling algorithms used to schedule processes in a queue, such as FCFS, SSTF, SCAN, C-SCAN, LOOK, C-LOOK, OTHDSA and Zone Base Disk Scheduling. It then applies all of these techniques using two data sets of I/O requests to assess the performance of each algorithm. The comparison includes total seek tim...

Computing and smart monitoring devices or machines are involved in every organization and sector in present era. These machines have any operating system (OS), software and applications installed based on the requirement. Due to available security vulnerabilities in OS or software and applications, these machines have more chances to become victims...

Nowadays, users are moving from old 2D screens to modern devices such as 3D screens and virtual reality devices to enjoy videos and games like real-world experience, and this demand increased further development. Virtual Reality (VR) is based on the creation of a simulated environment of real-world with computer creation, and Augmented Reality (AR)...

Lately, there has been growing interest of users in Roman-Urdu text processing by using English language keyboard over the various social network platforms in Pakistan as well as in some other states of Indo-European. Nonetheless, one major issue in Roman-Urdu text processing is that it has no standardized lexicon, resulting one word in Urdu have d...

During the past few years, deep learning (DL) architectures are being employed in many potential areas such as object detection, face recognition, natural language processing, medical image analysis and other related applications. In these applications, DL has achieved remarkable results matching the performance of human experts. This paper present...

Objectives: This research presents multi-text classification from the news text dataset. The main purpose of this work is to classify multi-text for Urdu and Roman language using Natural Language processing and Machine Learning classification models. Methods/Statistical analysis: In this research, online news data has been collected through beautif...

Objectives: This research presents a model for Urdu Handwritten Character Recognition via images using various Machine Learning and Deep Learning Techniques. The main objective of this research is to provide comparative study on Urdu Handwritten Characters from images dataset. Methods/Statistical analysis: In this research paper, Support Vector Mac...

In recent years, cloud computing is an emergent field in the Internet era. There is rapid development in high-performance computing and technology extended from grid computing to cloud computing to provide computing resources on pay per basis. Cloud service providers developed applications for users to easily access cloud services with quality of s...

Medicine has displayed miraculous developments during the past century or so. Credit goes to the emergence of scientific research methods. Research on the disease, its causes, effects, precaution, and especially cure has revolutionized the world. Man has been liberated from epidemics and other deadly diseases. All this would not have been possible,...

This paper proposes an efficient and cost effective deep learning architecture to detect the diabetic retinopathy in real time. Diabetes is a leading root cause of eye disease in patients. It illuminates eye vessels, and releases blood form vessels. Early detection of diabetic retinopathy is useful to reduce the risk of blindness or any hazard. In...

Objectives: The study has been carried out to present the sentiment analysis model for improving the quality of teaching in academic institutions, particularly at universities. The purpose of this study is to explore the different machine learning techniques to identify its importance as well as to raise interest in this research area. In this rega...

Objectives: Teacher’s evaluation in education system is quite important to improve the learning experience ininstitutions. For this purpose, sentiment analysis model is developedto identify the student sentiments from the piece of text. Methods/ Statistical Analysis: Long Short-Term Memory Model (LSTM) is used for analyzing the sentiments expressed...

CAPTCHAs are extensively used on the internet in order to distinguish between humans and bots. Numerous design alternatives of CAPTCHAs are introduced in last decade or so but still Text-based CAPTCHAs are most prevalent on the web due to its easy implementations. Text-based CAPTCHAs offer distorted text in images. The users are asked to read the t...

With the rapid growth in multimedia contents, among such content face recognition has got much attention especially in past few years. Face as an object consists of distinct features for detection; therefore, it remains most challenging research area for scholars in the field of computer vision and image processing. In this survey paper, we have tr...

In today’s world as the innovation in computing application is advancing day by day which required more and more bandwidth. For example online gaming, video streaming and mega file uploading and downloading. All these application are bandwidth demanding, to full fill the requirement of these applications in communication, a medium play an important...

Over last decades or so, CAPTCHAs are used to differentiate between humans and bots. Although many alternatives of CAPTCHAs are introduced in recent years but still Text-based CAPTCHAs are most prevalent among all other alternatives on the internet. The traditional approach to recognize Text-based CAPTCHAs involves preprocessing, segmentation and f...

Object detection and tracking with the aid of computer vision is a most challenging task in the context of Driver Assistant System (DAS) for vehicles. This paper presents pedestrians detection techique using Haar-Like Features. The main aim of this research is to develop a detection system for vehicle drivers that will intimate them in advance for...

The extensive growing need of higher data rate, at low cost and maximum coverage area has increased the need 5G technology to be implement. The object of such implementation is to make users life easier in terms of their daily life standards and home appliances, such as Mobile Commerce, Internet of Things, Smart gadgets, etc. However, before the im...

Background/Objectives: Unstructured random scene perception and understanding is a challenging problem in the field of computer vision and image processing. Methods/Statistical analysis: Two images with very different appearance may have the same color, texture and shape features. To recognize two different pictures having similar color, texture an...

High feature vector dimension quietly remained a curse element for Content Based Image Retrieval (CBIR) system which eventually degrades its efficiency while indexing similar images from database. This paper proposes CBIR system using Gray Scale Weighted Average technique for reducing the feature vector dimension. The proposed method is more suitab...

This research work is extended version of our previous work, which was carried out on 2-D image edge detection using daubachies db10 wavelet transform. Here in this paper, the db10 wavelet transform for edge detection is compared with most widely used edge detection techniques, such as Sobel, Prewitt, Roberts and Laplacian of Gaussian (LoG) and Can...

Nowadays, Content Based Image retrieval (CBIR) has been one of the most interesting research areas among researchers of technology-giants and academic institutions. Various CBIR techniques in literature show that there are three key properties in image retrieval viz. color, texture and shape. In this paper a detailed classification along with the c...

Content Based Image Retrieval (CBIR) has been a challenging research area among researchers of both industries and academic institutions. Human can judge and respond by memory to obtain and locate the target image and relate it by specific object, but for computer vision it’s a challenging issue to retrieve image from complex database that is diffi...

Content Based Image Retrieval is very hottest research area in computer vision and image processing. To perceive arbitrary natural scene from complex environment is a challenging issue in visual imaging and processing research area. Neural Network is a grid of “neuron like” nodes, in this paper we follow towards Neural Network (NN), is committed to...

Multimedia technology is known as the single repository source for information retrieval that includes images, audio and video. Nowadays, it is growing with tremendous amount in the field of communication technology. Traditional text based retrieval techniques of information retrieval are inefficient at searching user's intended information from th...