Intelligent Systems and Sustainable Computing
Description
This book is a collection of best-selected research papers presented at Third International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2023), held in School of Engineering, Malla Reddy University, Hyderabad, India, during December 22-23, 2023. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining and data warehousing, cloud computing, distributed computing, big data analytics, Internet of Things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing, and signal processing and communication.
Chapters 7 and 32 in this book is available open access under a CC BY 4.0 license at link.springer.com.
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Persons
V. Sivakumar Reddy is a professor in computer science and engineering and a vice-chancellor, Malla Reddy University, and has an experience of more than 28 years in teaching and industry put together. He is an alumnus of Indian Institute of Technology, (IIT) Kharagpur, and he is versatile in multidisciplinary specializations in signal processing and communications as well as computer science engineering. His laurels include more than 150 publications in reputed national and international conferences and journals. He is a fellow of IETE, life member of ISTE, member of IEEE, and member of CSI. He was awarded as "Best Teacher" in three consecutive academic years with citation and cash award. He is the recipient of "India Jewel Award" for outstanding contribution to research in the field of engineering and technology. He is an accomplished academician, renowned speaker, and visiting professor to various universities in the UK and Malaysia.
V. Kamakshi Prasad completed his Ph.D. in speech recognition at the Indian Institute of Technology Madras and his M.Tech. in computer science and technology at Andhra University in 1992. He has more than 31 years of teaching and research experience. His areas of research and teaching interest include speech recognition and processing, image processing, pattern recognition, ad hoc networks, and computer graphics. He has published several books, chapters, research papers in peer-reviewed journals, and conference proceedings. He is also an editorial board member of the International Journal of Wireless Networks and Communications and a member of several academic committees.
Jiacun Wang received a Ph.D. in computer engineering from Nanjing University of Science and Technology (NJUST), China, in 1991. He is currently a professor at the Computer Science and Software Engineering Department at Monmouth University, West Long Branch, New Jersey. From 2001 to 2004, he was a member of scientific staff at Nortel Networks in Richardson, Texas. Prior to joining Nortel, he was a research associate at the School of Computer Science, Florida International University (FIU) at Miami, and associate professor at NJUST. He has published numerous books and research papers and is an associate editor of several international journals. He has also served as a program chair, a program co-chair, a special sessions chair, and a program committee member for several international conferences. He is the secretary of the Organizing and Planning Committee of the IEEE SMC Society and has been a senior member of IEEE since 2000.
Naga Mallikarjuna Rao Dasari is currently working as a professor in Faculty of Science and Technology, Federation University @IIBIT, Australia. He obtained his Ph.D. in computer science at University of South Australia, Australia, and master of technology at Jawaharlal Nehru Technological University, India. He has more than 30 years of teaching and research experience. He has experience in developing mathematical models, designing and developing algorithms, and data analysis and expertise in computational techniques, and computer networks. He published more than 15 reputed journal papers in computation, networking principles, graph theoretical analysis. He has experience in designing computational methodologies to solve engineering problems.
Content
Impact of Self-Supervised Learning in Feature Representation Learning Using Rotation Pre-Text Task.- Ornithology Species Edge Detection Using Soft Computing Techniques.- Supervised Machine Learning-Method for Bone Cancer Detection and Classification.- Heart disease identification using ensemble learning and deep learning.- Eigenvalue-Based Model Reference Adaptive Controller for Four-Quadrant Vector-Controlled Induction Motor Drives Using Fictitious Resistance.- PCOS Screening Using Machine Learning and Ensemble Learning Techniques in a Smart Way.