Proceedings of the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024), Volume 3 | Dynamical Models, Communications and Networks

Asit Saha (u. a.)

ISBN 10: 3031691482 / ISBN 13: 9783031691485

Published by Springer, 2025

About this Item

Proceedings of the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024), Volume 3 | Dynamical Models, Communications and Networks | Asit Saha (u. a.) | Taschenbuch | Springer Proceedings in Physics | xviii | Englisch | 2025 | Springer | EAN 9783031691485 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 134421028

Bibliographic Details

• Title: Proceedings of the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024), Volume 3 | Dynamical Models, Communications and Networks
• Publisher: Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 3031691482
• ISBN 13: 9783031691485
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 39D millimeters 235 millimeters width by 155 millimeters height by 39 millimeters depth
• Weight: 1077 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book covers the latest advancements and applications of nonlinear dynamics in various fields of science and engineering, presenting a curated selection of peer-reviewed contributions at the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024) at Sikkim Manipal Institute of Technology (SMIT). Organized by the Department of Mathematics, SMIT, SMU, this international conference provides a platform for scientists, researchers, and inventors to share their findings and exchange ideas in the ever-evolving field of nonlinear dynamics.

This book comprises three volumes. Volume 3 focuses on graphs, networks, and communications. It covers topics such as optimization in control and neural systems; machine learning for signal analysis and classification; graph theory applications in science and engineering; analysis of wavelets and transforms in signal processing; and semiconductor devices and nanomaterials.