01073nas 2200397 c 450 991089495610332120171201150126.0(CKB)3790000000122773(DE-599)ZDB2595571-8(OCoLC)724573559(OCoLC)711829209(DE-101)1010148834(EXLCZ)99379000000012277320110221b18911940 |y |dutur|||||||||||txtrdacontentcrdamediacrrdacarrierElsevier's gei͏̈llustreerd maandschriftAmsterdamElsevier1891-1940Online-RessourceTeils mit ZusatzGesehen am 21.02.11Gei͏̈llustreerd maandschriftElsevier's maandschriftZeitschriftgnd-content8300500006DE-1019999JOURNAL9910894956103321Elseviers geïllustreerd maandschrift1915971UNINA03707nam 22006375 450 991104765660332120251124120536.03-032-07735-410.1007/978-3-032-07735-6(MiAaPQ)EBC32428375(Au-PeEL)EBL32428375(CKB)43713275000041(DE-He213)978-3-032-07735-6(EXLCZ)994371327500004120251124d2026 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData Science and Network Engineering Proceedings of ICDSNE 2025 /edited by Suyel Namasudra, Nirmalya Kar, Sarat Kumar Patra, Byung-Gyu Kim1st ed. 2026.Cham :Springer Nature Switzerland :Imprint: Springer,2026.1 online resource (524 pages)Lecture Notes in Networks and Systems,2367-3389 ;16683-032-07734-6 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.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.Lecture Notes in Networks and Systems,2367-3389 ;1668Artificial intelligenceTelecommunicationData structures (Computer science)Information theoryCooperating objects (Computer systems)Artificial IntelligenceCommunications Engineering, NetworksData Structures and Information TheoryCyber-Physical SystemsArtificial 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.006.3Namasudra Suyel1437818MiAaPQMiAaPQMiAaPQBOOK9911047656603321Data Science and Network Engineering4472025UNINA