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 6th International Conference on Trends in Cognitive Computation Engineering (TCCE 2024), organized by Amity University Rajasthan, Jaipur, India, during 26 27 December 2024. The book 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 2024, at Jaipur, India Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext

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 250 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.

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 a Professor at King Fahd University of Petroleum and Minerals, Saudi Arabia, where he directs the Cognitive Computing and Brain Informatics research group. Previously, at Nottingham Trent University (UK), he led research initiatives and served in key administrative roles, including coordinating the Computer Science Research Excellence Framework unit and directing the Cognitive Computing & Brain Informatics research group. A recipient of the 2021 VC Outstanding Researcher Award and a Marie-Curie postdoctoral fellow, Dr Mahmud has secured around £4 million in research funding from reputed funding agencies like the European Union and the British Council. With over 400 peer-reviewed publications, he is ranked among the top 2% cited scientists in Computer Science since 2021. He holds significant leadership positions in learned societies, including chair (2023-2024) and vice-chair (2020-2022) of IEEE CIS Intelligent Systems Application Technical Committee and a member of the Brain Informatics and CIS Health Systems Technical Committee, and an elected Board of Governors of APNNS (2025-2026). He serves as an editor for journals like Cognitive Computation, Brain Informatics and Frontiers in Neuroscience. He has chaired numerous international conferences, including ICONIP 2024, IEEE/WIC WI-IAT 2025, the Brain Informatics (2020-2022), and the Applied Intelligence and Informatics Conference (2021 onwards). He is the chief editor of book series including Applied Intelligence and Informatics book series with Springer-Nature, Smart Health System with CRC Press and Decentralised Systems and Future Internet with Scrivener/Wiley. Dr Mahmud is a Fellow of the Higher Education Academy (UK) and a senior member of IEEE and ACM, with memberships in BCS, INNS, APNNS, APA, and Sigma Xi.

Kanad Ray (Senior Member, IEEE) received the M.Sc. degree in physics from Calcutta University and the Ph.D. degree in physics from Jadavpur University, West Bengal, India. He has been a Professor of Physics and Electronics and Communication, and is presently working as the Head of the Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan (AUR), Jaipur, India. His current research areas of interest include cognition, communication, electromagnetic field theory, antenna and wave propagation, microwave, computational biology, and applied physics. He has been serving as an Editor for various Springer book series. He was an Associate Editor of the Journal of Integrative Neuroscience (The Netherlands: IOS Press). He has been visiting Professor to UTM & UTeM, Malyasia and visiting Scientist to NIMS, Japan. He has established MOU with UTeM Malaysia, NIMS Japan and University of Montreal, Canada. He has visited several countries such as Netherlands, Turkey, China, Czechoslovakia, Russia, Portugal, Finland, Belgium, South Africa, Japan, Singapore, Thailand, Malaysia etc. for various academic missions. He has organised various conferences such as SoCPROS, SoCTA, ICOEVCI, TCCE etc. as General Chair and Steering Committee Member.

Inhalt

A Comprehensive Review on Publicly Available Datasets and ML Approaches Used for Skin Cancer Detection.- Exploring Supervised and Semi-supervised Methods on a Bengali News Classification Dataset.- Hybrid Deep Learning Model for ECG Classification.- Exploring Stacking Algorithm for PCOS Detection.- Multimodal Sentiment Analysis A Co-occurrence Network-based Bibliometric Analysis.- Leveraging Supervised and Semi-Supervised Learning for Parkinson's Disease Detection Using Speech Features.