The book is a collection of best selected research papers presented at the International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2021), held in School of Engineering, Malla Reddy University, Hyderabad, India, during 24-25 September 2021. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining & 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.

Autorentext

V. Sivakumar Reddy is Professor in Computer Science and Engineering, Vice Chancellor, Malla Reddy University, and has an experience of more than 25 years in Teaching and Industry put together. He is an alumnus of Indian Institute of Technology, (IIT) Kharagpur, obtained his Ph.D., and he is versatile in multidisciplinary specializations in Signal Processing & Communications as well as Computer Science Engineering. His laurels include more than 150 Publications in reputed National and International Conferences and Journals. He is 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 was Member of Board of Studies for JNT University, Hyderabad, India. V. Kamakshi Prasad completed his Ph.D. in speech recognition at the Indian Institute of Technology Madras and his M.Tech. in Computer Science & Technology at Andhra University in 1992. He has more than 22 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 Editorial Board Member of the International Journal of Wireless Networks and Communications and Member of several academic committees. D. N. Mallikarjuna Rao is currently working as 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 20 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, and graph theoretical analysis. He has experience in designing computational methodologies to solve engineering problems. Suresh Chandra Satapathy is currently working as Professor, KIIT Deemed to be University, Odisha, India. He obtained his Ph.D. in Computer Science Engineering from JNTUH, Hyderabad, and Master's degree in Computer Science and Engineering from National Institute of Technology (NIT), Rourkela, Odisha. He has more than 27 years of teaching and research experience. His research interest includes machine learning, data mining, swarm intelligence studies, and their applications to engineering. He has more than 98 publications to his credit in various reputed international journals and conference proceedings. He has edited many volumes from Springer AISC, LNEE, SIST and LNCS in the past, and he is also Editorial Board Member in few international journals. He is Senior Member of IEEE and Life Member of Computer Society of India. Currently, he is National Chairman of Division-V (Education and Research) of Computer Society of India.

Inhalt

Unsupervised Learning for the Automatic Management of Scientific Aspect in Academic Conferences.- Context-Sensing from Deployed IoT sensors for improved public Transport Systems.- College Admissions Counseling Using Intelligent Question Answering System.- Juvenile crime categorization with EM clustering.- Review of Interoperability Issues Influencing Acceptance and Adoption of Cloud Computing Technology by Consumers.