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Waqas ahmed Siddique

Waqas ahmed Siddique
ILMA university · Computer Science

Master of Science

About

6
Publications
10,353
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10
Citations
Introduction
Waqas Ahmed Siddique is currently working as Lecturer at ILMA University Karachi. Waqas does research in plc, controlling, automation, cloud, Data Sciences, Artificial Intelligence, IoT and BigData
Additional affiliations
February 2015 - present
ILMA UNIVERSITY
Position
  • Lecturer
Education
August 2016 - February 2019
January 2010 - April 2014

Publications

Publications (6)
Article
Full-text available
Motivation: Controlling and monitoring of the whole process of industry is very difficult from a single place. Many workers required in different places of the plant to monitor, analyse, and gather data and to perform specific function accordingly. Problem: These gathering of data cause us our precious time. Sometimes due to this delay, many accide...
Article
Full-text available
Objectives: To implement the DevOps pipeline on cloud for an organization. That is designed and implemented according to the project requirements. Methods/findings: The results of the study are to automate everything using DevOps pipeline on cloud native with executed Continuous Integration (CI), Continuous Delivery (CD), and Monitoring required fo...
Article
Full-text available
Background/objectives: The major changes which come across face recognition are to find the age and gender of the person. This study is centered on face detection with voice and biometric technology. Methodology: During this study, it has been worked on the input camera which takes multiple shots of person. After that, the Cascade Classification al...
Chapter
Full-text available
Virtual reality (VR) and augmented reality (AR) will help students understand and interact more effectively. VR and AR are examples of emerging technologies that are characterized by their novelty, rapid development and effects on human existence. New capabilities are easily embraced by product makers and turned into useful goods. Designers must re...
Article
Full-text available
The Internet of Things is addressing certain issues such as traffic congestion, limited vehicle parking facilities, fuel consumption, and road safety. The use of smart parking applications has grown more essential, particularly in urban areas. In this article, we present the Park-A-Lot parking management programme, which identifies parking spots th...
Article
Full-text available
The ensemble learning method is considered a meaningful yet challenging task. To enhance the performance of binary classification and predictive analysis, this paper proposes an effective ensemble learning approach by applying multiple models to produce efficient and effective outcomes. In these experimental studies, three base learners, J48, Multi...

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