Description
Taylor and Francis Ltd Mathematical Modeling for Intelligent Systems 1st Edition 2022 Hardbound by Awasthi, Mukesh Kumar
* The book offers a well-balanced mathematical analysis of modelling physical systems.* Summarizes basic principles in differential geometry and convex analysis as needed.* The book covers a wide range of industrial and social applications, and bridges the gap between core theory and costly experiments through simulations and modelling. * The focus of the book is manifold ranging from stability of fluid flows, nano fluids, drug delivery, and security of image data to Pandemic modeling etc. 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.