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

Podrobná bibliografie
Korporativní autor: SpringerLink (Online service)
Další autoři: Tripathy, Asis Kumar (Editor), Sarkar, Mahasweta (Editor), Sahoo, Jyoti Prakash (Editor), Li, Kuan-Ching (Editor), Chinara, Suchismita (Editor)
Shrnutí:XXII, 523 p. 241 illus., 165 illus. in color.
text
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
Vydání:1st ed. 2021.
Edice:Lecture Notes in Networks and Systems, 127
Témata:
On-line přístup:https://doi.org/10.1007/978-981-15-4218-3
Médium: Elektronický zdroj Kniha
Obsah:
  • 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.