Nonlinear Complex Systems, Computational Intelligence and their Applications / Nejlevnější knihy
Nonlinear Complex Systems, Computational Intelligence and their Applications

Kód: 50033286

Nonlinear Complex Systems, Computational Intelligence and their Applications

Autor Lakshmanan Shanmugam, Jessie (Ju H.) Park, Chee Peng Lim, Dhanasekar Sundaram, Manivannan Annamalai, Parthiban Venugopal

This proceedings volume contains chapters presented at the International Conference on Emerging Frontiers in Nonlinear Complex Systems, Computational Intelligence and their Applications (ICNCS 2024), held at the Department of Math ... celý popis

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Anotace knihy

This proceedings volume contains chapters presented at the International Conference on Emerging Frontiers in Nonlinear Complex Systems, Computational Intelligence and their Applications (ICNCS 2024), held at the Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India, from 7 9 February 2024. Divided into seven parts dynamical systems, graph theory, image processing, fuzzy set theory, machine learning and deep learning approaches, fluid dynamics and pure mathematics the book has 47 chapters on these topics.

It brings together experts in nonlinear dynamics and computational intelligence from across the world. The book provides a valuable resource for participants, facilitating engagement with research teams and communities working on similar topics while contributing to the dissemination of new ideas and advancements in the field. Designed for researchers and students pursuing mathematics and interdisciplinary studies, the book highlights cutting-edge developments that push the boundaries of knowledge. As technology evolves, the insights presented in the book will shape the future of nonlinear systems and computational intelligence, paving the way for transformative breakthroughs with far-reaching implications.

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Zařazení knihy Knihy v angličtině Reference, information & interdisciplinary subjects Research & information: general Information theory

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