This book contains best selected research papers presented at ICTCS 2023: Eighth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Jaipur, India during 8 – 9 December 2023. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in five volumes.
Inhoudsopgave
Chapter 1: Digitalization of the Apparel Industry – The Impact of COVID-19 .- Chapter 2:EFFICIENT FIRE DETECTION AND AUTOMATION USING HAARCASCADE .-Chapter 3:Evolutionary Patterns in Modern-Era Cloud-Based Healthcare Technologies .-Chapter 4 :The Development of the Semiconductor Supply Chain in India: Challenges and Opportunities .-Chapter 5 :Water quality analysis of major rivers of India using Machine Learning .- Chapter 6: Enhancing Trust in AI-Generated Medical Narratives: A Transparent Approach for Simplifying Radiology Reports .- Chapter 7 : Green Construction Project Management: A Bibliometric Analysis .- Chapter 8: Illuminating Agriculture: Crafting a Strategy Io T-Based Architectural Design for Future Growth .- Chapter 9 :Video Based COVID-19 Monitoring System .- Chapter 10 :Analyzing User Profiles for Bot Account Detection on Twitter Via Machine Learning Approach .- Chapter 11 : Artificial Intelligence in Trucking Business Operations – A Systematic Review .- Chapter 12 :Deep Learning Approach for Early Diagnosis of Alzheimer’s Disease .- Chapter 13 : Study of key Agreement Protocol implementation in Constraint Environment .- Chapter 14 :Covid-19 Disease Predication System from X-Ray Images Using Convolutional Neural Network .-Chapter 15: Liquidity Regulation and Bank Performance: The Industry Perspective .- Chapter 16 :Enhancing Medical Education through Augmented Reality.- Chapter17 :A Comprehensive Study on Plant Classification using Machine Learning Models .- Chapter 18 : Critical Analysis of the Utilization of Machine Learning Techniques in the Context of Software Effort Estimation .- Chapter 19 : Review of Recent Research and Future Scope of Explainable Artificial Intelligence in Wireless Communication Networks.- Chapter 20 :Multicore System Classification Algorithms for Scheduling in Real-Time Systems .- Chapter 21 :Transfer Learning Techniques in Medical Image Classification .- Chapter 22 : Integrating AI Tools Into HRM to Promote Green HRM Practices .- Chapter 23 :Archival of Rangabati song through Technology : An attempt to Conservation of Culture .- Chapter 24 :Voice based Virtual assistant for windows using ASR .- Chapter 25 :Music Recommendation Systems: Techniques, Use Cases and Challenges .- Chapter 26 :Obstacle Detection Using Arduino Board and Bluetooth control .- Chapter 27 :GREEN ICT: EXPLORING THE ROLE OF Io T-ENABLED TECHNOLOGIES IN SMALL-SCALE BUSINESSES .- Chapter 28 :Unravelling Obfuscated Malware through Memory Feature Engineering and Ensemble Learning .- Chapter 29 :Quad-Port MIMO Antenna System for n79-5G and WLAN Wireless Communication Applications .- Chapter 30 : Socio-Technical Approaches to Solid Waste Management in Rural India: A Case Study of Smart Pipe Composting in Raichur District, Karnataka .- Chapter 31 :Attendance System Using Face Detection and Face Recognition .- Chapter 32 :Smart Health with Medi2Home: Redefining Medicine Delivery for a Safer Tomorrow .- Chapter 33 : Sentiment Analysis of Product Reviews from Amazon, Flipkart, and Twitter .- Chapter 34 :
Arithmetic Optimization Algorithm: A Review of Variants and Applications .- Chapter 35 :Dark Channel Prior Based Single Image Dehazing Using Type-2 Fuzzy sets for edge enhancement in dehazed images .- Chapter 36 :ECO-Guard: An Integrated AISensor System for Monitoring Wildlife and Sustainable Forest Management .- Chapter 37 :Machine-Learning-Based Diagnosis of Mental Health Issues .- Chapter 38 :Hybrid CPU Scheduling Algorithm For Operating System To Improve User Experience .- Chapter 39 :AI-Enable Heart Sound Analysis: PASCAL Approach for Precision-Driven Cardiopulmonary Assessment .- Chapter 40 :Sentiment Analysis in Social Media Marketing: Leveraging Natural Language Processing for Customer Insights.
Over de auteur
Dr. M Shamim Kaiser is currently working as a Professor at the Institute of Information Technology of Jahangirnagar University, Savar, Dhaka-1342, /Bangladesh. He received his Bachelor’s and Master’s degrees in Applied Physics Electronics and Communication Engineering from the University of Dhaka, Bangladesh in 2002 and 2004 respectively, and the Ph. D. degree in Telecommunication Engineering from the Asian Institute of Technology (AIT) Pathumthani, Thailand, in 2010. His current research interests include Data Analytics, Machine Learning, Wireless Network & Signal processing, Cognitive Radio Network, Big data and Cyber Security, Renewable Energy. He has authored more than 100 papers in different peer-reviewed journals and conferences. He is an Associate Editor of the IEEE Access Journal, Guest Editor of Brain Informatics Journal, and Cognitive Computation Journal. Dr. Kaiser is a Life Member of Bangladesh Electronic Society; Bangladesh Physical Society. He is also a senior member of IEEE, USA and IEICE, Japan, and an active volunteer of the IEEE Bangladesh Section. He is the founding Chapter Chair of the IEEE Bangladesh Section Computer Society Chapter.
Dr. JUANYING XIE Currently a Professor with Shaanxi Normal University, Xi’an, China. I have been a full professor at the School of Computer Science of Shaanxi Normal University in PR China. My research interests include machine learning, data mining, and biomedical data analysis. I have published around 50 research papers, and published 2 monograph books. I have been an associate editor of Health Information Science and Systems. I have been a program committee member of several international conferences, such as the International conference on Health Information Science, etc. I have been a senior member of China Computer Federation (CCF), and a member of Chinese Association for Artificial Intelligence (CAAI), and a member of Artificial Intelligence and Pattern Recognition Committee of CCF, and a member of Machine Learning Committee of CAAI, etc. I have been a peer reviewer for many journals, such as ‘Information Sciences’, and ‘IEEE trans. on cybernetics’, etc. I was awarded my Ph.D. in signal and information processing from Xidian University. I cooperated with Prof. Xiaohui Liu at Brunel University in UK from 2010 to 2011 in machine learning and gene selection research. I received an engineering master degree in the application technology of computers at Xidian University and a bachelor degree of science in computer science at Shanxi Normal University.
Dr. Vijay Singh Rathore is presently working as a Professor in the Department of CS & IT, JECRC University, Jaipur, He was previously with IIS (Deemed to be) University, Jaipur (India). He received Ph.D. from the University of Rajasthan and has teaching experience of 20 years. He is Secretary, ACM Jaipur Chapter, Past Chairman, CSI Jaipur Chapter, got two patents published, Ph.D. Supervised (Awarded: 16, Under Supervision: 07), 80+ research papers, and 10+ books got published. He is handling international affairs of The IIS University, Jaipur. His research areas are internet security, cloud computing, big data, and Io T.
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