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 79 February 2024. Divided into seven partsdynamical systems, graph theory, image processing, fuzzy set theory, machine learning and deep learning approaches, fluid dynamics and pure mathematicsthe 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.

Includes chapters on dynamical systems, graph theory, machine learning and deep learning approaches and fluid dynamics Discusses real-world problems using advanced dynamical system , impacting physics, healthcare and socio-economics Introduces innovative graph theory concepts with applications in labeling, spectral analysis and algorithmic coloring

Autorentext

Lakshmanan Shanmugam is Associate Professor (Senior) at the Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Chennai-600127, Tamil Nadu, India. He completed his Ph.D. at The Gandhigram Rural Institute-Deemed University, Dindigul, in 2012. After that, he was a Post-Doctoral Research Fellow at Yeungnam University, South Korea (2012–2013), and in Al Ain, UAE (2013–2015). He held the Alfred Deakin Post-Doctoral Fellowship at Deakin University, Australia (2015–2017). From 2017–2021, he was a Korean Research Fellow at the Research Center for Wind Energy Systems, Kunsan National University, South Korea. His research focuses on stability analysis of dynamical systems and complex networks, Lyapunov stability and control theory. To his credit, he has published more than 100 scientific papers in stability theory and related domains.

Jessie (Ju H.) Park  has been the Chunma Chair Professor at Yeungnam University, Kyongsan, Republic of Korea, since March 2000. A Senior Member of IEEE, he earned his Ph.D. in Electronics and Electrical Engineering from Pohang University of Science and Technology (POSTECH), Korea, in 1997. From 1997 to 2000, he was a Research Associate at POSTECH’s Engineering Research Center. He has coauthored five books, including Dynamic Systems with Time Delays: Stability and Control (Springer, 2019). His research spans nonlinear dynamics, intelligent systems, vehicle systems, and AI, accumulating over 51K citations with an H-index of 111. A recipient of the Highly Cited Researchers Award by Clarivate Analytics, he was listed in engineering, computer sciences, and mathematics (2019–2022). He serves as a Receiving/Assigning Editor for Nonlinear Dynamics (Springer) and is a Fellow of the Korean Academy of Science and Technology (KAST). He has served on editorial boards for multiple journals, including Journal of the Franklin Institute, Applied Mathematics and Computation, and IEEE Transactions on Fuzzy Systems, Neural Networks, and Cybernetics.

Chee Peng Lim is Professor in the Department of Computing Technologies, Swinburne University of Technology, Melbourne, Australia. With more than 500 papers published, his research interests include soft computing, medical prognosis and diagnosis, computational intelligence-based systems for pattern recognition, data mining, fault detection, condition monitoring, decision support and process optimization. He received the B.Eng. degree in electrical engineering from the University of Technology Malaysia, Johor Bahru, Malaysia, in 1992, and the M.Sc. degree in control systems and the Ph.D. degree from the University of Sheffield, Sheffield, UK, in 1993 and 1997, respectively.

Dhanasekar Sundaram is Associate Professor in the Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Chennai-600127, Tamil Nadu, India. He received his Ph.D. degree in fuzzy optimization from Bharathiar University, in 2019. . His research interests include fuzzy image processing, fuzzy decision-making problems, graph neural networks, and operational research problems in extended fuzzy environments. He has  more than 12 years of teaching and  research experience. To his credit he published around 60 research articles in reputed journals and conference proceedings.

Manivannan Annamalai is Associate Professor and Head in the Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Chennai-600127, Tamil Nadu, India. He received his Ph.D. degree in mathematics from Madurai Kamaraj University, Madurai, India, in 2015. He has  more than 12 years of teaching and research experience. His research interests include stability theory, dynamical neural networks, complex systems, fuzzy functional differential equations. To his credit he published 40 research articles in reputed journals and conference proceedings.

Parthiban Venugopal is Associate Professor in the Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Chennai-600127, Tamil Nadu, India. He received his Ph.D. degree in mathematics from Bharathiar University, Coimbatore, in 2013. His research interests include fractional calculus, differential equations, fuzzy logic, control systems, and numerical methods. He has  more than 12 years of teaching and  research experience. To his credit he published 40 research articles in reputed journals and conference proceedings.

Inhalt

Analysis of Stochastic Tuberculosis Model with Mixed-strain.- An exponential stability analysis of complex-valued delayed BAM neural networks.- Data Driven Inference to Study the Association Between FDI And GDP Using Multiple Mediation Model with Special Reference to Leather Sector.- Deflection angle of Kazakov-Solodukhin Blackhole in quintessence using Homotopy Perturbation Method.- Predictive Modelling for Life Expectancy Classification: A Comprehensive Comparative Analysis of Ensemble Learning and Neural Network Approach.- Optimal Iterative Algorithm for Solving Nonlinear Equations with Applications.- Stabilization of stochastic jump discontinuous systems.- Application of Mohand Transform in Solving Fractional Difference Equations.- Soliton solutions in (2+1)-dimensional ferromagnetic spin chain using new extended auxiliary method.- The Upper and The Forcing Geodetic Hop Domination Numbers of a Graph.- On reciprocal distance spectrum of neighbourhood corona of graphs.- On Various Zagreb Indices of the drug Trimethoprim.- Spectra of Graphs Obtained by S N Partial Cartesian Product.- The geodetic and the Steiner numbers of a hollow coronoid HC(C1, C2, C3).- Note on "Edge geodesic number of a fuzzy graph.- Optimizing Edge Coloring in Undirected Graphs using Incidence matrix.- Pair Mean Cordial Labeling in the Context of Vertex Switching of Path, Cycle, Shell and Wheel Graphs.