Computing and Machine Learning
Description
This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India, during April 29 - 30, 2024. The volume book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, internet of things, human--robot interaction, ethical and social implications of AI, applications in health care, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing, and mobile computing.
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Dr. Jagdish Chand Bansal is an Associate Professor (Senior Grade) at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. He also holds visiting professorship at NIT Goa, India. Dr. Bansal obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as an Assistant Professor at ABV- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary area of interest is Swarm Intelligence and Nature Inspired Optimization Techniques. Recently, he proposed a fission-fusion social structure based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems in the engineering domain. He has published over 70 research papers in various international journals/conferences. He is the Section Editor (editor-in-chief) of the journal MethodsX published by Elsevier. He is the series editor of the book series Algorithms for Intelligent Systems (AIS), Studies in Autonomic, Data-driven and Industrial Computing (SADIC), and Innovations in Sustainable Technologies and Computing (ISTC) published by Springer. He is also the Associate Editor of Engineering Applications of Artificial Intelligence (EAAI) and ARRAY published by Elsevier. He is the general secretary of the Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG levels.
Dr. Samarjeet Borah is currently working as Professor and Head in the Department of Computer Applications, SMIT, Sikkim Manipal University (SMU), Sikkim, India. Dr. Borah has carried out various funded projects from AICTE (GoI), DST-CSRI (GoI) etc. He has published around 90 research papers in various journals and conferences. He has organized various workshops and conferences in national and international level. Dr. Borah is involved with various book volumes and journals of repute from Springer, IEEE, Inderscience and IGI Global as Editor or Guest Editor. He is the editor-in-chief of the book and proceedings series - Research Notes on Computing and Communication Sciences, Apple Academic Press, USA. Dr. Borah has served as Keynote as well as Invited Speakers in several international conferences. His areas of research are Data Mining, Information Security, Data Science and Machine Learning.
Dr. Hussain is working at University of Canberra as Associate Professor of Biomedical Robotics. Prior to that he has worked as lecturer at University of Wollongong, Australia. Dr. Hussain has obtained his PhD in Mechanical Engineering from the University of Auckland, New Zealand in 2013. His research interests include assistive and rehabilitation robotics, compliant actuation of robots, robot mechanism design and optimization, non-linear dynamics and control of robotic systems, human-robot interaction, biomechanical modelling, engineering education and micro electro-mechanical systems (MEMS). Dr. Hussain has published more than 65 papers in the prestigious journals of the field.
Professor Said Salhi has been Emeritus Professor in Operational Research/Management Science at the Kent Business School (UK) since January 2021. Prior to his appointment as a Full Professor to Kent in 2005, he was at the University of Birmingham in the School of Mathematics for 15 years (Lecturer, Senior Lecturer and Reader) and in his later three years he acted as the Head of the Management Mathematics Group. In Kent, he was also Head of the Management Science Group for over 8 years (2008-May 2017), founder and designer of the MSc in Logistics & Supply Chain Management, and founder of the Centre of Logistics and Heuristic Optimisation (CLHO) in 2008 which he was director till January 2021. He obtained his BSc in Mathematics with major in Operational Research & Statistics (University of Science and Technology, Algiers), MSc in Operational Research (Institute of Mathematics, Southampton) and PhD in Operational Research (School of Management, Lancaster). Professor Salhi is currently Editor in Chief for the Journal of the Operational Research Society (JORS). He chaired the European Working Group in Location Analysis (EWGLA) in 1996, the International Symposium in Combinatorial Optimisation (CO2016) in September 2016, and co-chaired the 61th British annual conference in Operational Research (OR61) in September 2019. Professor Salhi has edited several special issues including 'The Palgrave Handbook of Operations Research' published in Summer 2023. He published over 130 papers in academic journals (excluding edited proceedings and book chapters). His H-index is 37 from Scopus and 53 from Google Scholar. His number of citations is over 5K in Scopus and in Google Scholar this number is over 10K. His research is on heuristic and mathematical optimization with applications to logistics and other areas of engineering. He is among the top 2% Ranking of Scientists in the World.
Content
Author-Centric Pattern Detection in Scopus Citation Network via Community Structures.- K-Nearest Neighbor Based Friends Suggestion on Social Media.- Software Reliability Prediction and Regression Analysis with Family of Lindley.- Distribution.- Reinventing Urban Mobility with Reinforcement Learning in Vehicular Ad-Hoc Networks.- Refining the Giants: A Comprehensive Review of Fine-Tuning Strategies for Large Language Models.
