Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2020 / / edited by Asis Kumar Tripathy, Mahasweta Sarkar, Jyoti Prakash Sahoo, Kuan-Ching Li, Suchismita Chinara

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (525 pages)
• Disciplina: 004.36
• Soggetto topico: Computational intelligence; Machine learning; Electrical engineering; Computational Intelligence; Machine Learning; Communications Engineering, Networks
• Persona (resp. second.): TripathyAsis Kumar; SarkarMahasweta; SahooJyoti Prakash; LiKuan-Ching; ChinaraSuchismita
• Nota di contenuto: Customized Score-Based Security Threat Analysis in VANET -- Blackhole Detection and Mitigation Using Active Trust in Wireless Sensor Networks -- Power Allocation Based QoS Guarantees in Millimeter Wave Enabled Vehicular Communication -- A Multi-Objective Optimization Scheduling Algorithm in Cloud Computing -- Addressing Security and Computation Challenges in IoT Using Machine Learning -- Survey of Blockchain Applications in Database Security -- A Comparative Analysis of Accessibility and Stability of Different Networks -- Analysis and Prediction of the Survival of Titanic Passengers Using Machine Learning -- Rising Star Evaluation Using Statistical Analysis in Cricket -- A Comparative Study of Genetic Algorithm and Neural Network Computing Techniques Over Feature Selection.
• Sommario/riassunto: This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.
• Titolo autorizzato: Advances in Distributed Computing and Machine Learning
• ISBN: 981-15-4218-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484584903321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3370 ; ; 127