Biologically Inspired Techniques in Many Criteria Decision Making Proceedings of BITMDM 2021 /

Biologically Inspired Techniques in Many Criteria Decision Making Proceedings of BITMDM 2021 /

Podrobná bibliografie
Korporativní autor: SpringerLink (Online service)
Další autoři: Dehuri, Satchidananda (Editor), Prasad Mishra, Bhabani Shankar (Editor), Mallick, Pradeep Kumar (Editor), Cho, Sung-Bae (Editor)
Shrnutí:XIV, 735 p. 312 illus., 210 illus. in color.
text
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Vydání:1st ed. 2022.
Edice:Smart Innovation, Systems and Technologies, 271
Témata:
Computational intelligence.
Artificial intelligence.
Algorithms.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
On-line přístup:https://doi.org/10.1007/978-981-16-8739-6
Médium: Elektronický zdroj E-kniha
Obsah:
  • Cloud-based Smart Grids: Opportunities and Challenges
  • A Resource Aware Load Balancing Strategy for Real-Time, Cross-Vertical IoT Applications
  • An Elitist Artificial – electric – field – algorithm - based Artificial Neural Network for Financial Time Series Forecasting
  • COVID – 19 Severıty Predıctıons: An Analysis Usıng Correlatıon Measures
  • Antenna Array Optimization For Side Lobe Level: A Brief Review
  • Accuracy Analysis for Predicting Heart Attacks Based on Various Machine Learning Algorithms
  • Link Recommendation for Social Influence Maximization
  • Performance Analysis of State-of-the art Classifiers and Stack Ensemble Model for Liver Disease Diagnosis
  • CryptedWe: An end-to-encryption with fake news detection messaging system
  • Enabling Data Security in Electronic Voting System using Blockchain
  • Prediction of Used Car Prices Using Machine Learning
  • Complexity Classification of Object-oriented Projects Based on Class Model Information Using Quasi-opposition Rao Algorithm Based Neural Networks
  • Mood Based Movie Recommendation System.

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