04425nam a22006135i 4500 978-981-99-6755-1 DE-He213 20251030110830.0 cr nn 008mamaa 231102s2024 si | s |||| 0|eng d 9789819967551 978-981-99-6755-1 10.1007/978-981-99-6755-1 doi TK5101-5105.9 TJK bicssc TEC041000 bisacsh TJK thema Data Science and Network Engineering [electronic resource] : Proceedings of ICDSNE 2023 / edited by Suyel Namasudra, Munesh Chandra Trivedi, Ruben Gonzalez Crespo, Pascal Lorenz. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIX, 527 p. 247 illus., 184 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 ; 791 Part 1: Computational Intelligence -- Chapter 1: Evaluation of Hand-crafted Features for the Classification of Spam SMS in Dravidian Languages -- Chapter 2: Training Algorithms for Mixtures of Normalizing Flows -- Chapter 3: Facial Expression Based Music Recommendation System using Deep Learning -- Chapter 4: Exploring Time Series Analysis Techniques for Sales Forecasting -- Chapter 5: Keystroke Dynamics Based Analysis and Classification of Hand Posture using Machine Learning Techniques -- Chapter 6: Teenager Friendly News Classification Using Machine Learning Model -- Chapter 7: Turbulent Particle Swarm Optimization and Genetic Algorithm for Function Maximization -- Chapter 8: An Innovative New Open Computer Vision Framework via Artificial Intelligence with Python -- Chapter 9: Meat Freshness State Prediction using a Novel Fifteen Layered Deep Convolutional Neural Network -- Chapter 10: Object Detection in Autonomous Maritime Vehicles: Comparison between YOLO V8 and EfficientDet. etc. This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2023) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 21–22, 2023. It includes research works from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering. Telecommunication. Artificial intelligence Data processing. Artificial intelligence. 58441 Internet of things. 58845 Cooperating objects (Computer systems). 64303 Communications Engineering, Networks. Data Science. Artificial Intelligence. 58441 Internet of Things. 58845 Cyber-Physical Systems. 65638 Namasudra, Suyel. editor. edt http://id.loc.gov/vocabulary/relators/edt 67077 Trivedi, Munesh Chandra. editor. edt http://id.loc.gov/vocabulary/relators/edt 67078 Crespo, Ruben Gonzalez. editor. edt http://id.loc.gov/vocabulary/relators/edt 67079 Lorenz, Pascal. editor. edt http://id.loc.gov/vocabulary/relators/edt 67080 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819967544 Printed edition: 9789819967568 Lecture Notes in Networks and Systems, 2367-3389 ; 791 https://doi.org/10.1007/978-981-99-6755-1 ZDB-2-ENG ZDB-2-SXE 56522 56522