Intelligence Enabled Research

DoSIER 2021
Herausgegeben:Bhattacharyya, Siddhartha; Das, Gautam; De, Sourav

• Gebundenes Buch

Produktbeschreibung

This book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12-13, 2021). 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.

Produktdetails

• Studies in Computational Intelligence 1029
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-19-0488-2
• 1st ed. 2022
• Seitenzahl: 192
• Erscheinungstermin: 29. März 2022
• Englisch
• Abmessung: 241mm x 160mm x 17mm
• Gewicht: 459g
• ISBN-13: 9789811904882
• ISBN-10: 981190488X
• Artikelnr.: 63353364

Autorenporträt

Prof. Siddhartha Bhattacharyya [FRSA (UK), FIET (UK), FIEI (I), FIETE, LFOSI, SMIEEE, SMACM, SMIETI] did his Bachelors in Physics, Bachelors in Optics and Optoelectronics, and Masters in Optics and Optoelectronics from the University of Calcutta, India, in 1995, 1998, and 2000, respectively. He completed Ph.D. in Computer Science and Engineering from Jadavpur University, India, in 2008. He is Recipient of the University Gold Medal from the University of Calcutta for his Masters. He is Recipient of several coveted awards including the Distinguished HoD Award and Distinguished Professor Award conferred by Computer Society of India, Mumbai Chapter, India, in 2017, the Honorary Doctorate Award (D. Litt.) from the University of South America and the South East Asian Regional Computing Confederation (SEARCC) International Digital Award ICT Educator of the Year in 2017. He has been appointed as ACM Distinguished Speaker for the tenure of 2018-2020. He is currently serving as the Principalof Rajnagar Mahavidyalaya, Birbhum, India. Prior to this, he was a Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. He served as Principal of RCC Institute of Information Technology, Kolkata, India, during 2017-2019. He is Co-author of 6 books and Co-editor of 80 books and has more than 400 research publications in international journals and conference proceedings to his credit. His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks, and quantum computing. Dr. Gautam Das is Professor of the ECE Department of Cooch Behar Government Engineering College, West Bengal. He completed B. Tech. and M. Tech. from the Institute of Radio Physics and Electronics, Calcutta University, and subsequently completed Ph.D. from NBU. Dr. Das has more than 19 years of teaching and research experience. He has been Author & Co-author of many journals and conference papers and participated in organized national & international conferences. His area of interest includes system-on-chip testing & design of smart City. Dr. Sourav De [SMIEEE, MACM, MIEI, LISTE, MCSTA, MIAENG] is currently Associate Professor of Computer Science & Engineering at Cooch Behar Government Engineering College, West Bengal. With over 15 years of academic experience, he has authored one book and edited 12 books and contributed to more than 54 research publications in internationally reputed journals, edited books, and international IEEE conference proceedings, and has five patents to his credit. His research interests include soft computing, pattern recognition, image processing, and data mining.

Inhaltsangabe

Solving Graph Coloring Problem Using Ant Colony Optimization, Simulated Annealing And Quantum Annealing - A Comparative Study.- Computer Assisted Diagnosis and Neuroimaging of Baby Infants.- Early Prediction of Ebola Virus Using Advanced Recurrent Neural Networks.- A Three-Step Fuzzy based BERT Model for Sentiment Analysis.- Mayfly Algorithm Based PID Controller for LFC of Multi Sources Single Area Power System.- Group Key Management Techniques for Secure Load Balanced Routing Model.- Search Techniques for Data Analytics with focus on Ensemble Methods.- A Survey on Underwater Object Detection.- COVACDISER: A Machine Learning based Web Application to Recommend the Prioritization of COVID-19 Vaccination.- Research of High-Speed Procedures for Defuzzification Based on the Area Ratio Method.- A Single Qubit Quantum Perceptron for OR and XOR Logic.- Societal Gene Acceptance Index Based Crossover in GA for Traveling Salesman Problem.- The method of automated neuro-fuzzy calibration of geometrically distorted images of digital X-ray tomographs.