Intelligent Human Centered Computing

ISBN-13: 9789819934775 / Angielski / Miękka / 2023

Opis

This book features high-quality research papers presented at the First Doctoral Symposium on Human Centered Computing (HUMAN 2023), jointly organized by Computer Society of India, Kolkata Chapter and Techno India University, West Bengal, on February 25, 2023. This book discusses the topics of modern human centered computing and its applications. The book showcases the fusion of human sciences (social and cognitive) with computer science (human–computer interaction, signal processing, machine learning, and ubiquitous computing).

Spis treści

An Intelligent Approach for Brain Tumor Classification using different CNN Variants.- Effective Estimation of Relationship Strength among Facebook Users Applying Pearson Correlation and Jaccard’s Coefficient.- Taxonomy of music genre using machine intelligence from feature melting technique.- Optimization of intraday trading in F&O on the NSE utilizing BOLLINGER BANDS.- Identification of mental state through speech using a deep learning approach.- Intellectual Property in Human Genomics in India.- Performance of Automated Machine Learning with Neural Network Estimators for the Classification of PCOS.- Job Recommendation a Hybrid Approach Using Text Processing.- A study to investigate the existence of monolexemic colour terms in Dravidian languages: A visual psychophysics approach.- Deep Artificial Neural Network based Blind Color Image Watermarking.- IoT Based Automatic Temperature Screening & Alert System for Symptomatic COVID-19 Detection.- Boosting machine learning algorithm to classify road conditions for maintenance strategy of flexible pavements.- Hyper parameterized LSTM models for predicting NSE intraday bias based on global market trends.- Malicious URL Classification using Machine Learning.- Prognostic stage classification for invasive breast cancer by analysing affected lymph node.- Survey of Task Scheduling algorithms for Minimizing Energy in a Cloud Computing Environment.- Human Stress Detection from SWCT EEG Data Using Optimised Stacked Deep Learning Model.- Impact of Carbon emission policies on an imperfect EOQ model under cloud fuzzy environment.- Rule-based investigation on positive change in air quality at Kolkata during lockdown period due to covid-19 pandemic.- Performance Analysis of Professional Higher Education Programmes Driven by Students Perception: A Latent Variable Computation Model for Industry 5.0.- Graph Based Zero Shot Adverse Drug Reaction Detection From Social Media Reviews Using GPT-Neo.- Digital Twin for Industry 5.0: Concept, Methodologies, and Applications.- Application of Machine Learning Technology for Screening of Mental Health Disorder.- Novel Machine Learning Techniques for Diabetes Prediction.- Analysis of BLER and throughput during the coexistence of two 5G NR.- An Assessment of Forest Fire Dataset using Soft Computing Technique.- Predicting the data science employability rate using data mining techniques.- Classification of Online Fake News Using N-Gram Approach and Machine Learning Techniques.- An Edge Assisted Robust Smart Traffic Management and Signalling System for Guiding Emergency Vehicles During Peak Hours.- Patent Analysis on Artificial Intelligence in Food Industry: Worldwide Present Scenario.- Research of the influence of the fuzzy rules number on the learning of a neuro-fuzzy system.- Optimization of Traffic Flow Based on Periodic Fuzzy Graphs.- ChatGPT: A OpenAI Platform for Society 5.0.

O autorze

Dr. Siddhartha Bhattacharyya [FRSA, FIET (UK), FIEI, FIETE, LFOSI, SMIEEE, SMACM, SMAAIA, SMIETI, LMCSI, LMISTE] is currently the principal of Rajnagar Mahavidyalaya, Birbhum, India. Prior to this, he was a professor at CHRIST (Deemed to be University), Bangalore, India. He also served as the principal of RCC Institute of Information Technology, Kolkata, India. He has served VSB Technical University of Ostrava, Czech Republic, as a senior research scientist. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He is a co-author of 6 books and the co-editor of 94 books and has more than 400 research publications in international journals and conference proceedings to his credit.

Dr. Jyoti Sekhar Banerjee is currently serving as the head of the Department in the Computer Science and Engineering (AI & ML) Department at the Bengal Institute of Technology, Kolkata, India. Additionally, He is also the professor-in-charge, R & D and Consultancy Cell & Nodal Officer of the IPR Cell of BIT. Dr. Banerjee did his Post-Doctoral Fellowship at Nottingham Trent University, UK, in the Department of Computer Science. He also completed the postgraduate diploma in IPR & TBM from MAKAUT, WB. He has teaching and research experience spanning 18 years and completed one IEI funded project. He is the lead author of “A Text Book on Mastering Digital Electronics: Principle, Devices, and Applications” and co-editor of the six books. He has also co-authored another book and is currently processing three edited books in reputed international publishers like Springer, CRC Press, De Gruyter, etc.

Debashis De is a professor in the Department of Computer Science and Engineering at the Maulana Abul Kalam Azad University of Technology, West Bengal, India. He received M.Tech. from the University of Calcutta, in 2002. and a Ph.D. from Jadavpur University in 2005. He is a senior member-IEEE, fellow IETE, and life member CSI. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Heriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award from 2008–2009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist award both in 2005 in New Delhi and in 2011 in Istanbul, Turkey, from the International Union of Radio Science, Belgium. In 2016, he received the JC Bose research award from IETE, New Delhi. 

Dr. Mufti Mahmud is an associate professor of Cognitive Computing at the Computer Science Department of Nottingham Trent University (NTU), UK. He has been the recipient of the top 2% cited scientists worldwide in computer science (2020, 2021), the NTU VC outstanding research award 2021, and the Marie-Curie postdoctoral fellowship. Dr. Mahmud is the coordinator of the Computer Science and Informatics research excellence framework unit of assessment at NTU and the deputy group leader of the Cognitive Computing and Brain Informatics and the Interactive Systems research groups. His research portfolio consists of over GBP4.0 million grant capture with expertise that includes brain informatics, computational intelligence, applied data analysis, and big data technologies focusing on healthcare applications. He has more than 18 years of academic experience and over 250 peer-reviewed publications.