Springer Proceedings of International Conference on Scientific and Natural Computing: Proceedings of SNC 2021 (Algorithms for Intelligent Systems)

This book includes high-quality papers presented at International Conference on Scientific and Natural Computing (SNC 2021), organized by Department of Applied Mathematics, Gautam Buddha University, Greater Noida in collaboration with IIT Roorkee and Technical University of Ostrava (VSB-TU) and technically sponsored by Soft Computing Research Society of India, held online during 5 – 6 February 2021. The topics include self-organizing migrating algorithm, genetic algorithms, swarm intelligence based techniques, evolutionary computing, fuzzy computing, probabilistic computing, genetic programming, particle swarm optimization, neuro computing, hybrid methods, deep learning, including convolutional neural networks, generative adversarial networks and auto-encoders, bio-inspired systems, data mining, data visualization, intelligent agents, engineering design optimization, multi-objective optimization, fault diagnosis, decision support, robotics, signal or image processing, system identification and modelling, systems integration, time series prediction, virtual reality, vision or pattern recognition, intelligent information retrieval, motion control and power electronics, Internet of Everything (IoE), control systems, and supply chain management. From the Back Cover This book includes high-quality papers presented at International Conference on Scientific and Natural Computing (SNC 2021), organized by Department of Applied Mathematics, Gautam Buddha University, Greater Noida in collaboration with IIT Roorkee and Technical University of Ostrava (VSB-TU) and technically sponsored by Soft Computing Research Society of India, held online during 5 – 6 February 2021. The topics include self-organizing migrating algorithm, genetic algorithms, swarm intelligence based techniques, evolutionary computing, fuzzy computing, probabilistic computing, genetic programming, particle swarm optimization, neuro computing, hybrid methods, deep learning, including convolutional neural networks, generative adversarial networks and auto-encoders, bio-inspired systems, data mining, data visualization, intelligent agents, engineering design optimization, multi-objective optimization, fault diagnosis, decision support, robotics, signal or image processing, system identification and modelling, systems integration, time series prediction, virtual reality, vision or pattern recognition, intelligent information retrieval, motion control and power electronics, Internet of Everything (IoE), control systems, and supply chain management. About the Author Dr. Dipti Singh is currently working as an Assistant Professor at Department of Applied Mathematics, Gautam Buddha University, Greater Noida. She received her M.Sc(2002) and Ph.d(2007) degrees from Indian Institute of Technology, Roorkee. She has more than 30 papers in reffered journals of high impact factor/International conferences. She has contributed chapters in many books and also has one Edited book “Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications”, DOI:10.4018/978-1-4666-9885-7,to her credit. She has supervised 2 Ph.D thesis, 7 M.sc and 9 M.tech Dissertations. She is life member of Operations Research Society of India, Soft Computing Research Society of India and also Member of International Research Group Unconventional Algorithms and Computing, Czech (NAVY), University of Ostrava. She is the advisory board member of series of International Conference on Soft Computing for Problems Solving (SocProS). Her research interests include Optimization Techniques, Nature Inspired Algorithms, Computational Intelligence, and their application to real life engineering problems. Dr. Amit K. Awasthi is working as an Assistant Professor at Gautam Buddha University. He achieved Gold Medal in M. Sc. in Mathematics (1999) from M. J. P. Rohilkhand University, Bareilly. He received his Ph.D. in 2007 from Dr. B.R. Ambedkar Univers