Applied Machine Learning on Sensing Technologies

Md Atiqur Rahman Ahad, Ph.D. (SMIEEE, SMOPTICA) is a Professor of Artificial Intelligence (AI), University of East London (UEL); Guest Professor of Kyushu Institute of Technology (KyuTech), Japan; Visting Academic Staff of The University of Osaka, Japan; Associate Staff Member, Artificial Intelligence & Health Technologies, Rix Inclusive Research Institute, UEL; and Expert Contributor & Member, Safer Agentic AI Criteria Development Community of Practice. He has previously served at The University of Osaka, University of Dhaka (DU), Aoyama Gakuin University, and UCSI University. He works on AI on healthcare (antimicrobial resistance, Parkinson’s Disease, well-being, rehabilitation, autism), AI & cyber safety, and gait-biometrics. He studied at KyuTech (Ph.D.), UNSW (MCompSc), and DU (BSc (Honors), MSc). He received 60 awards/recognitions, acquired grants from Innovate UK, UKRI, NIHR, OfS, etc. He has published 20 authored/edited books and over 240 peer-reviewed papers and book chapters. Ahad has been a keynote/invited speaker more than 170 times at various conferences and universities. He has supervised or co-supervised over 150 Ph.D. students and other researchers. He is an Associate Editor, Pattern Recognition; Editorial Board Member, Scientific Reports, Nature; General Chair, 8th Intl. Conf. on Activity & Behavior Computing (ABC), 2026. His leadership focuses on growing interdisciplinary strength, elevating REF performance, and transforming academic excellence into measurable societal benefit. More: https://ahadVisionLab.comAnton Nijholt is interested in non-traditional human-computer interaction issues. These issues include irrational behavior, deception, food, and humor. They are included in research on entertainment computing, augmented reality, brain-computer interfacing, multimodal interaction, affective interaction, and modelling interactions in smart environments, including human-human interaction, human-robot interaction, human-virtual agent interaction, and playable cities.He has been program chair or general chair of the main international conferences of affective computing (ACII), entertainment computing (ACE, INTETAIN, ICEC), virtual agents (IVA), faces & gestures (FG), and some others. He organised many workshops on related topics, such as multisensorial augmented reality, humor engineering, human-food interaction, playable cities, and brain-computer interfacing. Recent edited books are Playable Cities: The City as a Digital Playground, Making Smart Cities more Playable, and Brain Art: Brain-Computer Interfaces for Artistic Expression.Nijholt held positions at various universities in Belgium and the Netherlands. He acted as supervisor for about fifty Ph.D. students. During some years Nijholt was scientific advisor of Philips Research, Eindhoven. He has been research-fellow at McMaster University (Canada), the Netherlands Institute for Advanced Study in the Humanities and Social Sciences, the Imagineering Institute in Malaysia, and member of Microsoft’s Technical Leadership Advisory Board. Nijholt is Chief Editor of the section "Human-Media Interaction" of Frontiers in Psychology and Frontiers in Computer Science, series editor of Gaming Media and Social Effects, and a member of many editorial boards.Md Abdus Samad Kamal is working at the Cluster of Electronics and Mechanical Engineering, Graduate School of Science and Technology Gunma University, Japan. His details are in https://www.mst.st.gunmau.ac.jp/kamal/biog.html.Björn Schuller received his diploma, doctoral degree, and habilitation in Machine Intelligence and Signal Processing in EE/IT from Technical University of Munich. He is Full Professor of Artificial Intelligence and the Head of the Group on Language, Audio, & Music (GLAM) at Imperial College London/UK, Full Professor and Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg/Germany, co-founding CEO and current CSO of audEERING – an audio intelligence company based near Munich and in Berlin, and permanent Visiting Professor at Harbin Institute of Technology/China amongst other professorships and affiliations. Previous stays include Full Professor at the University of Passau/Germany, Key Researcher at Joanneum Research in Graz/Austria, and the CNRS-LIMSI in Orsay/France. He is a Fellow of the IEEE and Golden Core Awardee of the IEEE Computer Society, Fellow of the BCS, Fellow of the ISCA, Fellow and President- Emeritus of the AAAC, and Senior Member of the ACM. He (co-)authored 1,000+ publications (40k+ citations, h-index=100+), is Field Chief Editor of Frontiers in Digital Health and was Editor-in-Chief of the IEEE Transactions on Affective Computing amongst manifold further commitments and service to the community. His 40+ awards include having been honoured as one of 40 extraordinary scientists under the age of 40 by the World Economic Forum in 2015. He has initiated and organized first-in-the-field of affective computing and sentiment analysis challenges such as AVEC, ComParE, or MuSe more than 30 times. He is an ERC Starting and DFG Reinhart-Koselleck Grantee, and consultant of companies such as Barclays, GN, Huawei, Informatics, and Samsung.Matthew A. Turk is the third President of Toyota Technological Institute at Chicago. He earned a Ph.D. from the Massachusetts Institute of Technology, an MS from Carnegie Mellon University, and a BS from Virginia Tech. Prior to joining TTIC in 2019, Turk was a full professor at the University of California, Santa Barbara, where he continues as Professor Emeritus. His primary appointment was in the Department of Computer Science, where he served as Department Chair from 2017 to 2019, with a secondary appointment in Media Arts and Technology, where he served as Chair from 2005 to 2010. He also had affiliate appointments in Electrical and Computer Engineering and the Dynamical Neuroscience Program and was involved in several interdisciplinary organizations across campus.Turk’s primary research interests are in computer vision and machine learning, augmented and mixed reality, and human-computer interaction. He has received several best paper awards and has been general or program chair of several major conferences, including CVPR, WACV, ACM Multimedia, IEEE Face and Gesture Recognition, and International Conference on Multimodal Interaction (ICMI).He brings a dynamic background of academic, industry, and entrepreneurial experience to the role of President. In 2000, Turk helped to found the Vision Technology Group at Microsoft Research, and he brings additional industry experience gained in working with a small Silicon Valley company and a large aerospace company. In 2014, he co-founded a startup company that spun out from NSF-funded research in his lab and was acquired in 2016. He is a Fellow of the ACM, the IEEE, and the IAPR and was the Fulbright-Nokia Distinguished Chair in Information and Communications Technologies.

"This book highlights the cutting-edge research that bridges theoretical advancements with impactful real-world applications. Edited by a highly accomplished team, they have together ensured a well-rounded and visionary exploration of this evolving field. A defining strength of this volume lies in its focus on methodological advancements. Chapters explore cutting-edge techniques, showcasing their practical utility in diverse domains. By applying these advanced methodologies to real-world problems, the book offers readers a clear understanding of both current trends and future opportunities in the field. This volume offers a comprehensive and forward-looking perspective on the integration of machine learning with sensing technologies. It will undoubtedly inspire researchers and practitioners to push the boundaries of what is possible, transforming these innovations into solutions that shape the future."--Professor Philip H. S. Torr, University of Oxford, UK

• Chapter 1 A Tri-modal Fusion Network for Object Detection Using Small Amounts of Low-Quality DataYusuke Watanabe, Yuma Yoshimoto, and Hakaru TamukohChapter 2 Arabic Music Classification and Generation using Deep LearningMohamed Elshaarawy, Ashrakat Saeed, Mariam Sheta, Abdelrahman Said, Asem Bakr, Omar Bahaa and Walid GomaaChapter 3 An Experimental Study on Speech Emotion Recognition for Bangla LanguageMd. Mehedi Hasan, Sarker Tanveer Ahmed Rumee, and Moinul Islam ZaberChapter 4 Performance Evaluation of Multi-class Bangla Public Sentiment Analysis Using Machine Learning and Embedding TechniquesMd Tazimul Hoque, Syed Tangim Pasha, Rubaiya Khanam, Ashraful Islam, Md Zahangir Alam, and Mohammad Nurul HudaChapter 5 Cross-Lingual Transfer Learning for Arabic Signature Verification: Dataset and Baseline EvaluationTameem Bakr, Ahmed Abdullatif, Kareem Elzeky, Mohamed Elsayed, and Rami ZewailChapter 6 Empowering Bengali Language in Drone Control with Artificial Neural NetworksSajjad Hossain Talukder, Noortaz Rezoana, Tanjim Mahmud, Nanziba Basnin, Shourav Chowdhury , Mohammad Shahadat Hossain, and Karl AnderssonChapter 7 Survival Analysis and Therapeutic Drug Targets Identification for Head and Neck Cancer and Chronic Lymphocytic Leukemia CancerMd. Anayt Rabbi, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akter, and Selina SharminChapter 8 Intracranial Hemorrhage Segmentation and Application of Interpretable Transfer Learning using Grad-CAM for Classification in Computed Tomography ImagesTazqia Mehrub and Mosabber Uddin AhmedChapter 9 Cervical Cancer Detection Using Multi-Branch Deep Learning ModelTatsuhiro Baba, Abu Saleh Musa Miah, Jungpil Shin, and Md. Al Mehedi HasanChapter 10 An Improved Framework for Classification of Skin Cancer Lesions using Transfer LearningTanjim Mahmud, Koushick Barua, Anik Barua, Sudhakar Das, Rishita Chakma, Nanziba Basnin, Nahed Sharmen, Mohammad Shahadat Hossain, and Karl AnderssonChapter 11 An Ensemble Learning Classifier to Predict Net Electricity Generation from Nuclear Power PlantsMushfiqur Rashid Khan, Faiyaz Fahim, Nahid Hasan, and Md. Parveg PlabanChapter 12 Deep Learning Optimizers: A Sustainability Perspective on Energy and EmissionsMd Asif Mahmod Tusher Siddique, Md Sakibul Islam, Dr. Ah-Lian Kor, Rashedul Kabir, Nusrath Jahan HappyChapter 13 Exploration of Hyperledger Besu in Designing Private Blockchain-based Financial Distribution SystemsMd. Raisul Hasan Shahrukha, Md. Tabassinur Rahmanb, and Nafees MansoorcChapter 14 BlockCampus: A Blockchain-Based DApp for Enhancing Student Engagement and Reward Mechanisms in an Academic Community for E-JUST UniversityMariam Ayman, Youssef El-harty, Ahmed Rashed, Ahmed Fathy, Ahmed Abdullah, Omar Wassim, Walid GomaaChapter 15 A Crop Recommendation System With a Transformer-Based Deep Learning ModelMd. Nabil Sadd Sammo, Humaira Anzum, and Shamim Akhter