Advances in Distributed Computing and Machine Learning Proceedings of ICADCML 2020 /

Advances in Distributed Computing and Machine Learning Proceedings of ICADCML 2020 /

Détails bibliographiques
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Tripathy, Asis Kumar (Éditeur intellectuel), Sarkar, Mahasweta (Éditeur intellectuel), Sahoo, Jyoti Prakash (Éditeur intellectuel), Li, Kuan-Ching (Éditeur intellectuel), Chinara, Suchismita (Éditeur intellectuel)
Résumé:XXII, 523 p. 241 illus., 165 illus. in color.
text
Langue:anglais
Publié: Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
Édition:1st ed. 2021.
Collection:Lecture Notes in Networks and Systems, 127
Sujets:
Computational intelligence.
Machine learning.
Telecommunication.
Computational Intelligence.
Machine Learning.
Communications Engineering, Networks.
Accès en ligne:https://doi.org/10.1007/978-981-15-4218-3
Format: Électronique Livre
Table des matières:
  • 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.

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