04735nam a22006015i 4500 978-981-97-7571-2 DE-He213 20251030114639.0 cr nn 008mamaa 241225s2024 si | s |||| 0|eng d 9789819775712 978-981-97-7571-2 10.1007/978-981-97-7571-2 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Computing and Machine Learning [electronic resource] : Proceedings of CML 2024, Volume 3 / edited by Jagdish Chand Bansal, Samarjeet Borah, Shahid Hussain, Said Salhi. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XXIII, 483 p. 205 illus., 172 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 856 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. 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. Computational intelligence. 64052 Artificial intelligence. 58441 Image processing Digital techniques. 64228 Computer vision. Natural language processing (Computer science). 65131 Computational Intelligence. 64052 Artificial Intelligence. 58441 Computer Imaging, Vision, Pattern Recognition and Graphics. 65550 Natural Language Processing (NLP). 66164 Bansal, Jagdish Chand. editor. (orcid)0000-0001-9029-5129 https://orcid.org/0000-0001-9029-5129 edt http://id.loc.gov/vocabulary/relators/edt 68334 Borah, Samarjeet. editor. edt http://id.loc.gov/vocabulary/relators/edt 86493 Hussain, Shahid. editor. edt http://id.loc.gov/vocabulary/relators/edt 68939 Salhi, Said. editor. edt http://id.loc.gov/vocabulary/relators/edt 86494 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819775484 Printed edition: 9789819775729 Lecture Notes in Networks and Systems, 2367-3389 ; 856 https://doi.org/10.1007/978-981-97-7571-2 ZDB-2-INR ZDB-2-SXIT 66040 66040