Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy Proceedings of the Fourth International Conference, MMCITRE 2024 /

Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy Proceedings of the Fourth International Conference, MMCITRE 2024 /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Sahni, Manoj (Editor), Merigó, José M. (Editor), Annamaria, Gil-Lafuente (Editor), León-Castro, Ernesto (Editor), Verma, Rajkumar (Editor), Saraswat, Ram Naresh (Editor)
Summary:XIV, 643 p. 258 illus., 193 illus. in color.
text
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edition:1st ed. 2025.
Series:Lecture Notes in Networks and Systems, 1192
Subjects:
Computational intelligence.
Artificial intelligence.
Machine learning.
Renewable energy sources.
Computational Intelligence.
Artificial Intelligence.
Machine Learning.
Renewable Energy.
Online Access:https://doi.org/10.1007/978-981-96-1449-3
Format: Electronic Book
Table of Contents:
  • Novel Theories and Applications in Physics and Nonlinear Dynamics
  • Theoretical and Practical Approaches in Computer Science and Network Systems
  • Advances in Fuzzy Systems: Theory and Applications
  • Innovative Healthcare Approaches: Diagnostics, Detection, and Modeling
  • Statistical and Computational Techniques in Social, Economic and Energy Sectors.

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