This book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators, and technologists to discuss, debate, and promote research and technology in the upcoming areas of computing, information, communication, and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.
This book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators, and technologists to discuss, debate, and promote research and technology in the upcoming areas of computing, information, communication, and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.
N. R. Shetty is Chancellor of the Central University of Karnataka, Kalaburagi, and Chairman of Review Commission for the State Private University Karnataka. He is currently serving as an advisor to the Nitte Meenakshi Institute of Technology (NMIT), Bengaluru. He is also Founder Vice-President of the International Federation of Engineering Education Societies (IFEES), Washington DC, USA. He served as Vice-Chancellor of Bangalore University for two terms and President of the ISTE, New Delhi, for three terms. He was also Member of the Executive Committee of the AICTE and Chairman of its South West Region Committee. L. M. Patnaik obtained his Ph.D. in 1978 in the area of real-time systems and D.Sc. in 1989 in the areas of computer systems and architectures, both from the Indian Institute of Science (IISc), Bengaluru. From March 2008 to August 2011, he was Vice-Chancellor, Defence Institute of Advanced Technology, Deemed University, Pune. Currently, he is Honorary Professor with the Department of Electronic Systems Engineering, Indian Institute of Science, Bengaluru, and INSA Senior Scientist and Adjunct Professor with the National Institute of Advanced Studies, Bengaluru. During the last 50 years of his long service, his teaching, research, and development interests have been in the areas of parallel and distributed computing, computer architecture, CAD of VLSI systems, high-performance computing, mobile computing, theoretical computer science, real-time systems, soft computing and computational neuroscience including machine cognition. In these areas, he has 1286 publications in refereed international journals and refereed international conference proceedings including 30 technical reports, 43 books, and 26 chapters in books. N. H. Prasad is currently working as Professor and Head of the Department of Master of Computer Applications at Nitte Meenakshi Institute of Technology, Bengaluru. He completed his Ph.D. at Jawaharlal Nehru University, New Delhi, India. He has more than 18 years of experience in different roles in both public and private sector enterprises, including the Ministry of Human Resource and Development, New Delhi, Government of India. He has received the prestigious "Dr. Abdul Kalam Life Time Achievement Award" and also received a "Young Faculty" award at the 2nd Academic Brilliance Awards.
Inhaltsangabe
Teaching Learning-Based Optimization with Learning Enthusiasm Mechanism for Optimal Control of PV Inverters in Utility Grids for Techno-Economic Goals.- Machine Learning Framework for Prediction of Parkinson's Disease in Cloud Environment.- A Comparative Analysis to Measure Scholastic Success of Students Using Data Science Methods.- Gesture-Controlled Speech Assist Device for the Verbally Disabled.- Highly Classified with Two Factor Authentication Encrypted Secured Mail.- Efficacious Intrusion Detection on Cloud Using Improved BES and HYBRID SKINET-EKNN.
Teaching Learning-Based Optimization with Learning Enthusiasm Mechanism for Optimal Control of PV Inverters in Utility Grids for Techno-Economic Goals.- Machine Learning Framework for Prediction of Parkinson's Disease in Cloud Environment.- A Comparative Analysis to Measure Scholastic Success of Students Using Data Science Methods.- Gesture-Controlled Speech Assist Device for the Verbally Disabled.- Highly Classified with Two Factor Authentication Encrypted Secured Mail.- Efficacious Intrusion Detection on Cloud Using Improved BES and HYBRID SKINET-EKNN.
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