Proceedings of Fourth International Conference on Computing and Communication Networks : ICCCN 2024, Volume 3 / edited by Akshi Kumar, Abhishek Swaroop, Pancham Shukla

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture Notes in Networks and Systems ; 1291Verlag: Singapore : Springer Nature Singapore, 2025Verlag: Singapore : Imprint: Springer, 2025Auflage: 1st ed. 2025Beschreibung: 1 Online-Ressource(XXIX, 704 p. 276 illus., 247 illus. in color.)ISBN:

9789819632442

Schlagwörter:

Andere physische Formen: 9789819632435 | 9789819632459 | Erscheint auch als: 9789819632435 Druck-Ausgabe | Erscheint auch als: 9789819632459 Druck-AusgabeDDC-Klassifikation:

621.382 23

DOI: DOI: 10.1007/978-981-96-3244-2Online-Ressourcen:

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Zusammenfassung: Human-Artificial intelligence, Social Intelligence on Metacognitive and Technological Skill Enhancement in Active Learning environments -- A robust technique for survival prediction on pre-operative MRI images using SE-CNN and Cox regression -- Face Teachable Machine model combining Machine Learning and Deep Learning for Disease Diagnosis -- Autism Spectrum Disorder Prediction using Particle Swarm Optimization and Convolution Neural Network -- Chaotic Harris Hawks Optimization based Feature Selection with Attention Deep Learning Driven Intrusion Detection in CPS Environment -- Anti Occlusion Multi object Tracking Based on YOLOv5 -- Analysis of Crop Disease Detection using image data with deep leaning techniques.Zusammenfassung: This book includes selected peer-reviewed papers presented at fourth International Conference on Computing and Communication Networks (ICCCN 2024), held at Manchester Metropolitan University, UK, during 17–18 October 2024. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.PPN: PPN: 192835789XPackage identifier: Produktsigel: ZDB-2-SEB | ZDB-2-ENG | ZDB-2-SXE

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