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

Библиографические подробности
Автор-организация:	SpringerLink (Online service)
Другие авторы:	Sahni, Manoj (Редактор), Merigó, José M. (Редактор), Annamaria, Gil-Lafuente (Редактор), León-Castro, Ernesto (Редактор), Verma, Rajkumar (Редактор), Saraswat, Ram Naresh (Редактор)
Примечания:	XIV, 643 p. 258 illus., 193 illus. in color. text
Язык:	английский
Опубликовано:	Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Издание:	1st ed. 2025.
Серии:	Lecture Notes in Networks and Systems, 1192
Предметы:	Computational intelligence. Artificial intelligence. Machine learning. Renewable energy sources. Computational Intelligence. Artificial Intelligence. Machine Learning. Renewable Energy.
Online-ссылка:	https://doi.org/10.1007/978-981-96-1449-3
Формат:	Электронный ресурс Книга

Оглавление:

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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