Data Science and Network Engineering : Proceedings of ICDSNE 2025 / / edited by Suyel Namasudra, Nirmalya Kar, Sarat Kumar Patra, Byung-Gyu Kim

• Autore: Namasudra Suyel
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (524 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Telecommunication; Data structures (Computer science); Information theory; Cooperating objects (Computer systems); Artificial Intelligence; Communications Engineering, Networks; Data Structures and Information Theory; Cyber-Physical Systems
• Nota di contenuto: Ensemble Classifier for Real-Time Breast Cancer Classification on Histopathology Images -- A Smart Surveillance Framework for Real-Time Suspicious Activity Detection and Automated Alert Generation Using YOLOv8 -- Enhancing E-Commerce Trust: An Integrated Product Recommendation and Fake Review Detection System -- Hardware-Efficient Neural Network for Voice Disorder Classification from Multi-Source Datasets -- Predictive Maintenance on C-MAPSS Using LSTM Variants and Attention -- Unveiling Ebola-Human Protein Links through Network Embedding and Unsupervised Machine Learning -- Discount Optimisation in Food Delivery Using Machine Learning.
• Sommario/riassunto: This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2025) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 18–19, 2025. It includes research work 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.
• Titolo autorizzato: Data Science and Network Engineering
• ISBN: 3-032-07735-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911047656603321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 1668