Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications

Title page
Copyright
Preface
Acknowledgments
1 Certain Investigations on Different Mathematical Models in Machine Learning and Artificial Intelligence
	1.1 Introduction
	1.2 Mathematical Models of Classification Algorithm of Machine Learning
	1.3 Mathematical Models and Covid-19
	1.4 Conclusion
	References
2 Edge Computing Optimization Using Mathematical Modeling, Deep Learning Models, and Evolutionary Algorithms
	2.1 Introduction to Edge Computing and Research Challenges
	2.2 Introduction for Computational Offloading in Edge Computing
	2.3 Mathematical Model for Offloading
	2.4 QoS and Optimization in Edge Computing
	2.5 Deep Learning Mathematical Models for Edge Computing
	2.6 Evolutionary Algorithm and Edge Computing
	2.7 Conclusion
	References
3 Mathematical Modelling of Cryptographic Approaches in Cloud Computing Scenario
	3.1 Introduction to IoT
	3.2 Data Computation Process
	3.3 Data Partition Process
	3.4 Data Encryption Process
	3.5 Results and Discussions
	3.6 Overview and Conclusion
	References
4 An Exploration of Networking and Communication Methodologies for Security and Privacy Preservation in Edge Computing Platforms
	Introduction
	4.1 State-of-the-Art Edge Security and Privacy Preservation Protocols
	4.2 Authentication and Trust Management in Edge Computing Paradigms
	4.3 Key Management in Edge Computing Platforms
	4.4 Secure Edge Computing in IoT Platforms
	4.5 Secure Edge Computing Architectures Using Block Chain Technologies
	4.6 Machine Learning Perspectives on Edge Security
	4.7 Privacy Preservation in Edge Computing
	4.8 Advances of On-Device Intelligence for Secured Data Transmission
	4.9 Security and Privacy Preservation for Edge Intelligence in Beyond 5G Networks
	4.10 Providing Cyber Security Using Network and Communication Protocols for Edge Computing Devices
	4.11 Conclusion
	References
5 Nature Inspired Algorithm for Placing Sensors in Structural Health Monitoring System - Mouth Brooding Fish Approach
	5.1 Introduction
	5.2 Structural Health Monitoring
	5.3 Machine Learning
	5.4 Approaches of ML in SHM
	5.5 Mouth Brooding Fish Algorithm
	5.6 Case Studies On OSP Using Mouth Brooding Fish Algorithms
	5.7 Conclusions
	References
6 Heat Source/Sink Effects on Convective Flow of a Newtonian Fluid Past an Inclined Vertical Plate in Conducting Field
	6.1 Introduction
	6.2 Mathematic Formulation and Physical Design
	6.3 Discusion of Findings
	6.4 Conclusion
	References
7 Application of Fuzzy Differential Equations in Digital Images Via Fixed Point Techniques
	7.1 Introduction
	7.2 Preliminaries
	7.3 Applications of Fixed-Point Techniques
	7.4 An Application
	7.5 Conclusion
	References
8 The Convergence of Novel Deep Learning Approaches in Cybersecurity and Digital Forensics
	8.1 Introduction
	8.2 Digital Forensics
	8.3 Biometric Analysis of Crime Scene Traces of Forensic Investigation
	8.4 Forensic Data Analytics (FDA) for Risk Management
	8.5 Forensic Data Subsets and Open-Source Intelligence for Cybersecurity
	8.6 Recent Detection and Prevention Mechanisms for Ensuring Privacy and Security in Forensic Investigation
	8.7 Adversarial Deep Learning in Cybersecurity and Privacy
	8.8 Efficient Control of System-Environment Interactions Against Cyber Threats
	8.9 Incident Response Applications of Digital Forensics
	8.10 Deep Learning for Modeling Secure Interactions Between Systems
	8.11 Recent Advancements in Internet of Things Forensics
	References
9 Mathematical Models for Computer Vision in Cardiovascular Image Segmentation
	9.1 Introduction
	9.2 Cardiac Image Segmentation Using Deep Learning
	9.3 Proposed Method
	9.4 Algorithm Behaviors and Characteristics
	9.5 Computed Tomography Cardiovascular Data
	9.6 Performance Evaluation
	9.7 Conclusion
	References
10 Modeling of Diabetic Retinopathy Grading Using Deep Learning
	10.1 Introduction
	10.2 Related Works
	10.3 Methodology
	10.4 Dataset
	10.5 Results and Discussion
	10.6 Conclusion
	References
11 Novel Deep-Learning Approaches for Future Computing Applications and Services
	11.1 Introduction
	11.2 Architecture
	11.3 Multiple Applications of Deep Learning
	11.4 Challenges
	11.5 Conclusion and Future Aspects
	References
12 Effects of Radiation Absorption and Aligned Magnetic Field on MHD Cassion Fluid Past an Inclined Vertical Porous Plate in Porous Media
	12.1 Introduction
	12.2 Physical Configuration and Mathematical Formulation
	12.3 Discussion of Result
	12.4 Conclusion
	References
13 Integrated Mathematical Modelling and Analysis of Paddy Crop Pest Detection Framework Using Convolutional Classifiers
	13.1 Introduction
	13.2 Literature Survey
	13.3 Proposed System Model
	13.4 Paddy Pest Database Model
	13.5 Implementation and Results
	13.6 Conclusion
	References
14 A Novel Machine Learning Approach in Edge Analytics with Mathematical Modeling for IoT Test Optimization
	14.1 Introduction: Background and Driving Forces
	14.2 Objectives
	14.3 Mathematical Model for IoT Test Optimization
	14.4 Introduction to Internet of Things (IoT)
	14.5 IoT Analytics
	14.6 Survey on IoT Testing
	14.7 Optimization of End-User Application Testing in IoT
	14.8 Machine Learning in Edge Analytics for IoT Testing
	14.9 Proposed IoT Operations Framework Using Machine Learning on the Edge
	14.10 Expected Advantages and Challenges in Applying Machine Learning Techniques in End-User Application Testing on the Edge
	14.11 Conclusion
	References
Index
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