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

ISBN-13: 9781032272252 / Angielski / Twarda / 2022 / 288 str.

Mukesh Kumar Awasthi; Ravi Tomar; Maanak Gupta

Opis

This book provides 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, the book covers every major technique in AI in a clear and practical style.

Spis treści

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.