The text presents mathematical modeling techniques such as wavelet transform, differential calculus, and numerical techniques for multi-dimensional data. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication, and computer.

Chapter 1 Mathematical Modeling on Thermoregulation in Sarcopenia1.1. Introduction1.2. Discretization1.3. Modeling and Simulation of Basal Metabolic Rate and Skin Layers Thickness1.4. Mathematical Model and Boundary Conditions1.5. Solution of the Model1.6. Numerical Results and discussion1.7. ConclusionReferencesChapter 2 Multi-objective University Course Scheduling for Uncertainly Generated Courses2.1 Introduction2.2 Literature review2.3 Formulation of problem2.4 Methodology2.5 Numerical Example2.6 Result and Discussion2.7 ConclusionReferencesChapter 3 MChCNN : A Deep Learning Approach to Detect Text based Hate Speech3.1. Introduction Background and Driving Forces3.2. Related Work3.3. Experiment and Results3.4. ConclusionReferencesChapter 4 PSO Based PFC Cuk Converter fed BLDC Motor Drive for Automotive Applications4.1. Introduction4.2. Operation of Cuk converter fed BLDC motor drive system4.3. Controller Operation4.4. Result and Discussion4.5. ConclusionReferencesChapter 5 Optimize Feature Selection for Condition based monitoring of Cylindrical bearing using Wavelet transform and ANN5.1. Introduction5.2. Methodology5.3. Data Preparation5.4. Result and Discussion5.5. ConclusionReferencesChapter 6 SafeShop - An integrated system for safe pickup of items during COVID-196.1. Introduction6.2. Literature Survey6.3. Methodology6.4. Result and Discussion6.5. ConclusionReferencesChapter 7 Solution of First Order Fuzzy Differential Equation using Numerical Method7.1. Introduction7.2. Preliminaries7.3. Methodology7.4. Illustration7.5. ConclusionReferencesSECTION II Simulations in Machine Learning and Image ProcessingChapter 8 Multi-layer Encryption Algorithm for Data Integrity in Cloud Computing8.1. Introduction8.2. Related works8.3. Algorithm description8.4. Simulation and performance analysis8.5. Conclusion and Future WorkReferencesChapter 9 Anomaly detection using class of supervised and unsupervised learning algorithms9. 1. Introduction9.2. Adaptive threshold and regression techniques for anomaly detection9.3. Unsupervised Learning techniques for anomaly detection9.4. Description of the dataset9.5 Results and Discussions9.6. ConclusionReferencesChapter 10 Improving Support Vector Machine accuracy with Shogun’s multiple kernel learning10. 1. Introduction10. 2. Support Vector Machine Statistics10.3. Experiment and Result10.4 ConclusionReferencesChapter 11 An Introduction to Parallelisable String-Based SP-Languages11.1. Introduction11.2. Parallelisable string-based SP-languages11.3. Parallel Regular Expression11.4. Equivalence of Parallel Regular Expression and Branching Automaton11.5. Parallelisable String-Based SP-Grammar11.6. Parallelisable String-Based SP-Parallel Grammar11.7. Conclusion11.8. Applications11.9. Future ScopeReferencesChapter 12 Detection of Disease using Machine Learning12.1. Introduction12.2. Techniques Applied12.3. General architecture of AI/ML12.4. Experimental outcomes12.5. ConclusionReferencesChapter 13 Driver Drowsiness Detection Using Eye Tracing System13.1. Introduction13.2. Literature Review13.3. Research Method13.4. Observations and Results13.5. ConclusionReferencesChapter 14 An Efficient Image Encryption Scheme Combining Rubik Cube Principle with Masking14.1 Introduction14.2 Preliminary Section14.3 Proposed Work14. 4 Experimental Setup and Simulation Analysis14.5 ConclusionReferences