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Indigo Advances in Modeling, Analysis and Simulation: MAS-2024, Dhanbad, India, June 28-30, 2024 | Erin Mills Town Centre
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This book presents a comprehensive collection of research contributions from the National Conference on Modeling, Analysis, and Simulation (MAS 2024), held at the Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India, from 28&30 June 2024. It discusses the foundational and emerging topics vital to solving scientific and engineering challenges-ranging from mathematical modeling, dynamical systems, and mechanics of solids and fluids to advanced statistical approaches and the application of artificial intelligence, machine learning, and the Internet of Things. Emphasizing mathematical modeling as a powerful lens to represent and analyze complex phenomena, this book bridges disciplines through quantitative abstraction and predictive insight. This book highlights the role of computational models in capturing the behavior of physical systems, particularly within solid mechanics and fluid dynamics, where accurate simulations support efficient design and analysis. Contributions on dynamical systems theory explore intricate aspects of system stability, nonlinear dynamics, and bifurcation analysis, deepening our understanding of evolving systems. By showcasing the integration of AI and ML with traditional modeling frameworks, this book illustrates how intelligent tools enhance predictive capabilities, facilitate data-driven decision making, and offer scalable solutions to real-world complexity.
This book presents a comprehensive collection of research contributions from the National Conference on Modeling, Analysis, and Simulation (MAS 2024), held at the Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India, from 28&30 June 2024. It discusses the foundational and emerging topics vital to solving scientific and engineering challenges-ranging from mathematical modeling, dynamical systems, and mechanics of solids and fluids to advanced statistical approaches and the application of artificial intelligence, machine learning, and the Internet of Things. Emphasizing mathematical modeling as a powerful lens to represent and analyze complex phenomena, this book bridges disciplines through quantitative abstraction and predictive insight. This book highlights the role of computational models in capturing the behavior of physical systems, particularly within solid mechanics and fluid dynamics, where accurate simulations support efficient design and analysis. Contributions on dynamical systems theory explore intricate aspects of system stability, nonlinear dynamics, and bifurcation analysis, deepening our understanding of evolving systems. By showcasing the integration of AI and ML with traditional modeling frameworks, this book illustrates how intelligent tools enhance predictive capabilities, facilitate data-driven decision making, and offer scalable solutions to real-world complexity.
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