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 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 healthcare, 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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Persons
Dr. Jagdish Chand Bansal is an associate professor (Senior Grade) at South Asian University, New Delhi, and a 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 areas of interest are 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.
Dr. Samarjeet Borah is currently working as a professor and the head of 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 levels. Dr. Borah is involved with various book volumes and journals of repute from Springer, IEEE, Inderscience, and IGI Global as a 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 a keynote as well as invited speaker in several international conferences. His areas of research are data mining, information security, data science, and machine learning.
Dr. Shahid Hussain is working at the University of Canberra as an associate professor of Biomedical Robotics. Prior to that, he has worked as a lecturer at the University of Wollongong, Australia. Dr. Hussain has obtained his Ph.D. 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, nonlinear dynamics and control of robotic systems, human-robot interaction, biomechanical modeling, 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 an 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 the head of the Management Science Group for over 8 years (2008-May 2017), founder and designer of the M.Sc. in Logistics and Supply Chain Management, and founder of the Centre of Logistics and Heuristic Optimisation (CLHO) in 2008 which he was director till January 2021.
Content
Scaling Insights: Unleashing the Power of Scalable Clustering Indices for Big Data Exploration.- Prediction of Chronic Respiratory Diseases using Machine Learning Algorithms.- Experimental Evaluation of Scalable Database Architectures for High-Performance Applications.- Multi-class Semantic Segmentation: a Deep Supervised Approach For Brain Tumor Detection Using 3D U-Net++ Architecture.- DeepSeg: A Decision Support System for Enhanced Segmentation of Human Tissue Image.- Transcription-Based on Pitches an Ontology for the System Knowledge Representation.- A Deep Learning Framework for Paddy and Maize leaf Disease Detection.- An Accurate People Counting System Based on Object Detection and Tracking.- Structural and Functional Features of The Synthetic Benchmark.- Lacunarity-Based Characterization of Hyperspectral Spatial Patterns U-Net Segmentation and Lacunarity for Enhanced Analysis of Hyperspectral Imagery.- Detection of Buried Ieds Using Convolutional Neural Networks on Ground Images from Thermal Cameras Embarked on UAVs.- Smart Decision-Making in The Green Economy: A Fuzzy Logic Approach.- An Integrated Scalable Healthcare Management System Using IOT.