Mathematical Modeling for Intelligent Systems
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Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation

Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation

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About the Book

Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results. Key Features: • Offers a well-balanced mathematical analysis of modeling physical systems • Summarizes basic principles in differential geometry and convex analysis as needed • Covers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modeling • Focuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etc. This book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful.

Table of Contents:
1. Sensors, Embedded Systems and IoT Components. 2. Security and Privacy in Mobile Cloud Computing. 3. A Review on Live Memory Acquisition Approaches for Digital Forensics. 4. IoMT and Blockchain Based Intelligent and Secured System for Smart Healthcare. 5. AI Enabled Cloud Based Intelligent System for Telemedicine. 6. Fuzzy Heptagonal DEMATEL Technique and its Applications. 7. A Comparative Study of Intrapersonal and Interpersonal Influencing Factors on the Academic Performance of Technical and Non- Technical Students. 8. PIN Solar Cell Characteristics: Fundamental Physics. 9. A New Approximation for Conformable Time Fractional Nonlinear Delayed Differential Equations via Two Efficient Method. 10. Numerical Treatment on the Convective Instability in a Jeffrey Fluid Soaked Permeable Layer with Through-Flow. 11. Computational Modeling of Nonlinear Reaction-Diffusion Fisher-KPP Equation with Mixed Modal Discontinuous Galerkin Scheme. 12. A Numerical Approach on Unsteady Mixed Convection Flow with Temperature Dependent Prandtl number and Viscosity. 13. Study of Incompressible Viscous Flow due to a Stretchable Rotating Disk through Finite Element Procedure. 14. Instability of a Viscoelastic Cylindrical Jet: The VCVPF Theory. 15. Evaporative Kelvin-Helmholtz Instability of a Porous Swirling Annular Layer.


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Product Details
  • ISBN-13: 9781000618402
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: Chapman & Hall/CRC
  • Language: English
  • ISBN-10: 1000618404
  • Publisher Date: 29 Jul 2022
  • Binding: Digital (delivered electronically)
  • Sub Title: Theory, Methods, and Simulation


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Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation
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