Intelligence Enabled Research: Dosier 2020

ISBN-13: 9789811592898 / Angielski / Miękka / 2020 / 123 str.

Siddhartha Bhattacharyya; Paramartha Dutta; Kakali Datta

Spis treści

DEBM: Differential Evolution based Block Matching Algorithm.- Multi-Modality of Occupants' Actions for Many-Objective Building Energy Management.- A Novel Self-Adaptive Salp Swarm Algorithm for Dynamic Optimization Problems.- Digital ID Generation and Management Framework using Blockchain.- HFAIR: Hello Devoid Optimized Version of FAIR protocol for Mobile Ad-hoc Networks.- Performance Evaluation of Language Identification on Emotional Speech Corpus of Three Indian Languages.- Disaster severity prediction from Twitter Images.- A Study on Energy Efficient Communication in VANETs using Cellular IoT.- Recognition of transforming behavior of human emotion from face video sequence: A triangulation induced Circumradius-Incentre-Circumcentre combined approach.- A study on radio labelling of evolving trees for path Pn

O autorze

Dr. Siddhartha Bhattacharyya [FIET (UK), FIEI (I), FIETE, LFOSI] is currently a Professor in the Department of Computer Science and Engineering of CHRIST (Deemed to be University), Bangalore, India. Prior to this, he was the Principal of RCC Institute of Information Technology, Kolkata, India. He served as a Senior Research Scientist at the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic, from October 2018 to April 2019. Prior to this, he was the Professor of Information Technology at RCC Institute of Information Technology, Kolkata, India. He is a co-author of 5 books and co-editor of 68 books, and has more than 300 research publications in international journals and conference proceedings to his credit. His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence, and quantum computing. 

Dr. Paramartha Dutta received his bachelor’s and master’s degrees in Statistics from the Indian Statistical Institute, Calcutta, in 1988 and 1990, respectively. He completed his Master of Technology in Computer Science at the same institute in 1993 and his Doctor of Philosophy in Engineering at Bengal Engineering and Science University, Shibpur, in 2005. He has served on various projects funded by the Government of India, e.g. for the Defence Research and Development Organization, Council of Scientific and Industrial Research, Indian Statistical Institute, Calcutta, etc. Dr. Dutta is currently a Professor at the Department of Computer and System Sciences, Visva-Bharati University, West Bengal, India. He has co-authored four books and has one edited book to his credit. He has published ca. 100 papers in various journals and conference proceedings, both national and international.

 Dr. Kakali Datta, born in 1974, is working as an Assistant Professor (STAGE-III) in the Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, India. She did her graduation from Presidency College, Kolkata, with honours in Statistics in 1995. Then, she earned her Bachelor of Technology degree in Computer Science and Engineering from the University of Calcutta and the Master of Engineering degree in Computer Science and Technology from Bengal Engineering College (Deemed University), Shibpur in the years 1995 and 2000, respectively. She got her doctoral degree from Visva-Bharati University, Santiniketan, in 2018. Her areas of interest are quantum-dot cellular automata, image processing, approximation algorithms, etc. She has fourteen publications in various peer-reviewed journals and national/international conference proceedings, and several book chapters with reputed international publishers. She is supervising two scholars at present. She has two (one international and one national) patents to her credit.

Blurb

This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12–13 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.