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

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

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dehuri, Satchidananda (Editor), Prasad Mishra, Bhabani Shankar (Editor), Mallick, Pradeep Kumar (Editor), Cho, Sung-Bae (Editor)
Summary:XIV, 735 p. 312 illus., 210 illus. in color.
text
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Smart Innovation, Systems and Technologies, 271
Subjects:
Computational intelligence.
Artificial intelligence.
Algorithms.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Online Access:https://doi.org/10.1007/978-981-16-8739-6
Format: Electronic eBook
Table of Contents:
  • 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.

Similar Items