1.

Record Nr.

UNINA9911011658703321

Autore

Sahni Manoj

Titolo

Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy : Proceedings of the Fourth International Conference, MMCITRE 2024 / / edited by Manoj Sahni, José M Merigó, Gil-Lafuente Annamaria, Ernesto León-Castro, Rajkumar Verma, Ram Naresh Saraswat

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

ISBN

9789819614493

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (940 pages)

Collana

Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1192

Altri autori (Persone)

MerigóJosé M

AnnamariaGil-Lafuente

León-CastroErnesto

VermaRajkumar

SaraswatRam Naresh

Disciplina

006.3

Soggetti

Computational intelligence

Artificial intelligence

Machine learning

Renewable energy sources

Computational Intelligence

Artificial Intelligence

Machine Learning

Renewable Energy

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

The book is a collection of best-selected research papers presented at the Fourth International Conference on “Mathematical Modeling,



Computational Intelligence Techniques and Renewable Energy (MMCITRE 2024),” organized by Department of Mathematics and Statistics, Manipal University Jaipur, Jaipur, Rajasthan, India. This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.