Proceedings of the 4th International Conference on Cognitive and Intelligent Computing-Volume 1
Description
This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC-2024), held on November 29-30, 2024, at Hyderabad in India. The proceedings has cutting edge research outcome related to machine learning in control applications, soft computing, pattern recognition, decision support systems, text analytics and NLP, statistical learning, neural network learning, learning through fuzzy logic, learning through evolution (evolutionary algorithms), reinforcement learning, multi-strategy learning, cooperative learning, planning and learning, multi-agent learning, online and incremental learning, scalability of learning algorithms, inductive learning, inductive logic programming, Bayesian networks, support vector machines, case-based reasoning, multi-agent systems, human-computer interaction, data mining and knowledge discovery, knowledge management and networks, data intensive computing architecture, medicine, health, bioinformatics, and systems biology, industrial and engineering applications, security applications, smart cities, game playing and problem solving, intelligent virtual environments, economics, business, and forecasting applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for professionals, researchers, and research students working in the area of cognitive and intelligent computing.
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Dr. Amit Kumar is Forensic Scientist, Entrepreneur, Engineer, Bioinformatician, and IEEE Volunteer. In 2005, he founded the first private DNA testing company, BioAxis DNA Research Centre, in Hyderabad, India, with an American partner. He has vast experience of training 1000+ crime investigation officers and has helped process 750+ criminal and non-criminal cases by offering analytical services. He is Senior Member of the IEEE, has been Vice Chairman of the IEEE India Council and Chairman of IEEE Hyderabad Section. Amit was awarded IEEE MGA Achievement award and IEEE India Council Outstanding volunteer award in 2020. He was Visiting Professor at SJB Research Foundation and Current Chairman of IEEE Region 10 Section Chapter Committee.
Dr. Gheorghita Ghinea is Professor in the Computer Science Department at Brunel University, UK. He received the B.Sc. and B.Sc. (Hons) degrees in Computer Science and Mathematics, in 1993 and 1994, respectively, and the M.Sc. degree in Computer Science, in 1996, from the University of the Witwatersrand, Johannesburg, South Africa; he then received the Ph.D. degree in Computer Science from the University of Reading, UK, in 2000. His work focuses on building adaptable cross-layer end-to-end communication systems incorporating user perceptual requirements. His work has been funded by both national and international funding bodies-all of it being collaborative work with other teams and stakeholders he has been privileged to be involved with. He has been honored to supervise 24 Ph.D. students to completion and to have published over 300 high-quality research articles with them and other research collaborators. He is Member of the IEEE and the British Computer Society.
Dr. Suresh Merugu received his Ph.D. from the Indian Institute of Technology (IIT) Roorkee. He has four years of research experience in the fields of advanced digital image processing, colorimetry, computer vision, sub-pixel classification, data mining techniques, and space sciences. He has been Associate Professor at CMR College of Engineering and Technology, Hyderabad, since 2007.
Content
Review of AI Edge Computing Frameworks for Mitigating Incorrect Sensor Readings in Judicious Sensor Fusion Systems.- AI and ML Techniques for 5G and Next Generation Wireless Applications.- Optimal Design of Strength and Penetration Depth of Electric Field into The Thin Paper Film of The Coplanar Capacitive Sensor for Paper Moisture Measurement Application.- Cardiovascular Disease Diagnosis Using Machine Learning Techniques: A comprehensive review.- Enhanced Communication Among Hear-ing Impaired through Gestures and Facial Expression on 3D Avatar.- Diabetic Retinopathy Diagnosis using Image processing and Deep Learning Methods.- Transformative Learning: Exploring Biblical Studies with AI-Powered Chatbot.- Security and Privacy Challenges in cloud computing: analysis and framework for Risk Mitigation.- Anomaly Detection in Industrial Application through Machine Learning: A Case Study of Da Nang's Water Supply Plan.- Torque Control of Power Assisted Steering System (APES) Based on GA_PI Controller.- Leveraging machine learning for cardiovascular disease diagnosis.- RSXBoost: A Hybrid Approach to Crop Yield Forecasting with Literature Insights and Simulation Results.- Enhancing Leaf Disease Detection with Vision Transformers: A Literature Survey and Preprocessing Analysi.