World Congress on Smart Computing
Description
This book is a collection of the high-quality research articles in the field of machine learning, big-data analytics, computer vision, cloud computing, artificial intelligence, intelligent system, soft computing, and their real-world applications. The papers are presented at World Congress on Smart Computing (WCSC 2024), held during June 8-9, 2024, at Artificial Intelligence Research Center, Babu Banarasi Das University, Lucknow, India.
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Praveen Kumar Shukla is presently working as a professor and head in the Department of Computer Science & Engineering, Babu Banarasi Das University, Lucknow, India. His research area includes Fuzzy Systems (Interval Type-2 Fuzzy Systems and Type-2 Fuzzy Systems), Evolutionary Algorithms (Genetic Algorithms), Genetic Fuzzy Systems, Multi-Objective Optimization using Evolutionary Algorithms, Big Data Analytics, and Internet of Things. He has published many Papers in National Conferences, International Conferences, and International Journals. He has also published a book "Introduction to Information Security and Cyber Laws" in 2014 with Dreamtech Publishers and published a patent on "Social Media based Framework for Community Mobilisation during and post Pandemic" in 2021.He completed one Research Project on "Particle Swarm Optimization Based Electric Load Forecasting" sponsored by Dr. APJ Abdul Kalam Technical University under TEQIP-III scheme.
Harish Sharma is an associate professor at Rajasthan Technical University, Kota, in the Department of Computer Science & Engineering. He has worked at Vardhman Mahaveer Open University Kota, and Government Engineering College Jhalawar. He received his B.Tech and M.Tech degrees in Computer Engg. from Govt. Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is a secretary and one of the founder member of Soft Computing Research Society of India. He is a life time member of Cryptology Research Society of India, ISI, Kolkata. He is an associate editor of "International Journal of Swarm Intelligence (IJSI)" published by Inderscience.
Rammohan Mallipeddi (Senior Member, IEEE) received his master's and Ph.D. degrees in computer control and automation from the School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore, in 2007 and 2010, respectively. He is currently a full professor with the Department of Arti?cial Intelligence, School of Electronics Engineering, Kyungpook National University, Daegu, South Korea. His research interests include evolutionary computing, arti?cial intelligence, image processing, digital signal processing, robotics, and control engineering. He is a highly-cited researcher with more than 7000 citations and h-index of 40 as per Google Scholar. He is also an associate editor for IEEE Transactions on Cybernetics: Systems, Swarm and Evolutionary Computation, Information Sciences, Engineering Applications of Arti?cial Intelligence, and Computers and Electrical Engineering.
Content
Chapter 1: Hybrid CNN and XGBoost Model Tuned by Metaheuristics for DC Motor Failure Prediction using Mel Spectograms.- Chapter 2: Improvements of Workflow-Based Mechanism for ERP System User Interface Adaptation.- Chapter 3: Doubt Solver Chatbot using Speech-to-Text in Whisper and Few-Shot Learning in LangChain.- Chapter 4: A Piezoelectric Based Platform for Energy Harvesting.- Chapter 5: Limitations of Existing Deep Learning Models for Cultural Image Data: A Case Study of Indian Petroglyphs.- Chapter 6: Enhancing Human Diseases Prediction with Nail Images using VGG16.- Chapter 7: Computational Intelligence in Smart Farming: Vision and Trials.- Chapter 8: Advancements in Spoof Attack Detection for Iris Recognition Systems: A Review.- Chapter 9: Proposing Novel Mathematical Models of Question Difficulty and User Ability for Adaptive Testing System.- Chapter 10: Strategic Network Intervention: Simulating and Blocking Contagion Spread using Dominating Sets. etc.