Proceedings of the Fifth International Conference on Trends in Computational and Cognitive Engineering

This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce and industry. It is a collection of selected conference papers presented at the 5th International Conference on Trends in Cognitive Computation Engineering (TCCE 2023), organized by Pranveer Singh Institute of Technology, Kanpur Uttar Pradesh, India in collaboration with IIOIR, Shimla, Himachal Pradesh, India, during 24 25 November 2023. The book is divided into two volumes, and it shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.

Presents high-quality research in the field of computational and cognitive engineering Features the outcomes of TCCE 2023, at Kanpur, India Serves as a reference resource for researchers and practitioners in academia and industry

Auteur

Dr. M. Shamim Kaiser is currently working as a Professor at the Institute of Information Technology of Jahangirnagar University, Savar, Dhaka-1342, Bangladesh. He received his bachelor's and master's degrees in applied physics Electronics and Communication Engineering from the University of Dhaka, Bangladesh in 2002 and 2004 respectively, and the Ph. D. degree in Telecommunication Engineering from the Asian Institute of Technology, Thailand, in 2010. His current research interests include Data Analytics, Machine Learning, Wireless Network & Signal processing, Cognitive Radio Network, Big data and Cyber Security, Renewable Energy. He has authored more than 100 papers in different peer-reviewed journals and conferences. He is an Associate Editor of the IEEE Access Journal, Guest Editor of Brain Informatics Journal, and Cognitive Computation Journal. Dr. Kaiser is a Life Member of Bangladesh Electronic Society, Bangladesh Physical Society. He is also a senior member of IEEE, USA and IEICE, Japan, and active volunteer of the IEEE Bangladesh Section. He is the founding Chapter Chair of the IEEE Bangladesh Section Computer Society Chapter. Dr Kaiser organized various international conferences such as ICEEICT 2015-2018, IEEE HTC 2017, IEEE ICREST 2018, BI2020 etc.

Dr. Raghvendra Singh is currently working as a Associate Professor at Pranveer Singh Institute of Technology, Kanpur Uttar Pradesh India. He received Bachelor's and Master's degrees in Electronics and Communication Engineering from UPTU University, Lucknow and National Institute of Technology, Jaipur in 2004 and 2011 respectively and Ph.D Degree in Wireless communication using Implantable and Wearable Antennas from JKLU, Jaipur in 2019. His research includes Wireless Body Area Network for Healthcare, Microwave Communication and Antennas for WBAN. He has authored more than 21 papers in different peer-reviewed journals and conferences and 6 book chapters in reputed Publishing houses. He is guidingmany research scholars in the capacity of Guide. Dr. Raghvendra Singh is a life member of ISTE and member of IEEE.

Anirban Bandyopadhyay is a Senior Scientist in the National Institute for Materials Science (NIMS), Tsukuba, Japan. PhD from Indian Association for the Cultivation of Science (IACS), Kolkata 2005, December, on supramolecular electronics. 2005-2007: ICYS Research Fellow NIMS, Japan, 2007-now, permanent Scientist in NIMS, Japan. 10 patents on building artificial organic brain, big data, molecular bot, cancer & alzheimer drug, fourth circuit element etc. 2013-2014 a visiting scientist in MIT, USA, on biorhythms. World Technology Network, WTN Fellow, (2009-continued); Hitachi Science and Technology award 2010, Inamori Foundation award 2011-2012, Kurata Foundation Award, Inamori Foundation Fellow (2011-), Sewa Society International SSS Fellow (2012-), Japan; SSI Gold medal (2017).

Dr. Mufti Mahmud is serving as a Professor at the Information and Computer Science department of King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. Prior to this, he served as an associate professor of cognitive computing at the Department of Computer Science of Nottingham Trent University (NTU), UK. He was the Coordinator of the Computer Science and Informatics (B11) Unit of the Assessment of Research Excellence Framework at NTU from 2021 till 2023, the director of the Cognitive Computing & Brain Informatics (CCBI) research group and deputy group leader of the Interactive Systems Research Group (ISRG), and member of the Computing and Informatics Research Centre (CIRC) and the Medical Technologies Innovation Facility (MTIF), the NTU Distance Learning Governance, Operation and Steering committee as well as the International Mobility Committee. He serves as an independent end-point assessor for the Level 6 and 7 Professional Degree Apprenticeship programme and an expert of the online master's degree in computer science. His research grant captu

Contenu

An Evidential Model for Assessing Environmental Risks in Banana Production Using DS Theory.- On Solving a Multi-Criteria Decision Making Problem Using Neutrosophic Soft Set and Its Application.- On Solving Fuzzy Unconstrained Optimization Problems by Quasi Newton's Method.- Complex Cubic Picture Fuzzy Soft Matrices.- Adjacent Domination Integrity in Fuzzy Semigraphs.- Implementing the Integration Architecture Between GPT and Situational Awareness Model for Developing am Anti-Cyberbullying App.- Conglomerate Charge and Merchandise Swayed Inventory Model for Fragile Vendibles Besides Advance Remittance Allied Markdown Flair Nether Preservation Technology Using Cloudy Normalized Triangular Fuzzy Number.- Fixed Point Theorems on Complete Fuzzy Quasi Metric Space using Weak Contraction Function.- External staircase corona domination number of a graph.- A Mobilization of p- Pellian Triangles with Area in Q.- Neutrosophic Agility Index of Illam Thedi Kalvi (Education at Door step) in Tamilnadu.- Impact of LI-Fi in 6G: Challenges, Applications, and Prospects.- Alzheimer Detection using Optimized CNN Model.- An Optimized Vision Based Transformer for Lungs Cancer Detection.- Real-Time Bangla Sign Language Detection and Recognition using YOLOv10.- An Intelligent Prognostication Framework for Lung Cancer Prediction via K-Nearest Neighbors (KNN) Algorithm.