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Table of Contents
1 Cover
4 Preface
5 1 Design of Low Power Junction-Less Double-Gate MOSFET 1.1 Introduction 1.2 MOSFET Performance Parameters 1.3 Comparison of Existing MOSFET Architectures 1.4 Proposed Heavily Doped Junction-Less Double Gate MOSFET (AJ-DGMOSFET) 1.5 Heavily Doped JL-DG MOSFET for Biomedical Application 1.6 Conclusion References
6 2 VLSI Implementation of Vedic Multiplier 2.1 Introduction 2.2 8x8 Vedic Multiplier 2.3 The Architecture of 8x8 Vedic Multiplier (VM) 2.4 Results and Discussion 2.5 Conclusion References
7 3 Gas Leakage Detection from Drainage to Offer Safety for Sanitary Workers 3.1 Introduction 3.2 Related Works 3.3 Methodology 3.4 Experimental Results 3.5 Conclusion References
8 4 Machine Learning for Smart Healthcare Energy-Efficient System 4.1 Introduction 4.2 Related Works 4.3 Edge Computing 4.4 Smart Healthcare System 4.5 Conclusion and Future Directions References
9 5 Review of Machine Learning Techniques Used for Intrusion and Malware Detection in WSNs and IoT Devices 5.1 Introduction 5.2 Types of Attacks 5.3 Some Countermeasures for the Attacks 5.4 Machine Learning Solutions 5.5 Machine Learning Algorithms 5.6 Authentication Process Based on Machine Learning 5.7 Internet of Things (IoT) 5.8 IoT-Based Attacks 5.9 Information and Identity Theft 5.10 Social Engineering 5.11 Denial of Service 5.12 Concerns 5.13 Conclusion References
10 6 Smart Energy-Efficient Techniques for Large-Scale Process Industries 6.1 Pumps Operation 6.2 Vapour Absorption Refrigeration System 6.3 Heat Recovery Equipment 6.4 Lighting System 6.5 Air Conditioners 6.6 Fans and Other Smart Appliances 6.7 Motors 6.8 Energy-Efficient Transformers References
11 7 Link Restoration and Relay Node Placement in Partitioned Wireless Sensor Network 7.1 Introduction 7.2 Related Work 7.3 Proposed K-Means Clustering Algorithm 7.4 System Model and Assumption 7.5 Results and Discussion 7.6 Conclusions References
12 8 Frequency Modulated PV Powered MLI Fed Induction Motor Drive for Water Pumping Applications 8.1 Introduction 8.2
