11 Part IV SUSTAINABLE COMPUTING 28 Optimal Quantizer and Machine Learning–Based Decision Fusion for Cooperative Spectrum Sensing in IoT Cognitive Radio Network 28.1 Introduction 28.2 System Model and Preliminaries 28.3 Machine Learning Techniques of Decision Fusion 28.4 Optimum Quantization of Decision Statistic and Fusion 28.5 Measurement Setup 28.6 Performance Evaluation 28.7 Conclusion 28.8 Limitations and Scope for Future Work References 29 Green IoT for Smart Agricultural Monitoring: Prediction Intelligence With Machine Learning Algorithms, Analysis of Prototype, and Review of Emerging Technologies 29.1 Introduction 29.2 Green Approaches: Significance and Motivation 29.3 Machine Learning Algorithms for Prediction Intelligence in Smart Irrigation Control 29.4 Green IoT–Based Smart Irrigation Monitoring 29.5 Technology Enablers for GIoT–Based Irrigation Monitoring 29.6 Prototype of the Layered GIoT Framework for Intelligent Irrigation 29.7 Other Recent Developments on GIoT–Based Smart Agriculture 29.8 Literature Review of Edge Computing–Based Irrigation Monitoring 29.9 LPWAN for GIoT–Based Smart Agriculture 29.10 Analysis and Discussion 29.11 Research Gap in GIoT–Based Precision Agriculture 29.12 Analysis of Merits and Shortcomings 29.13 Future Research Scope 29.14 Conclusion References 30 Prominence of Sentiment Analysis in Web-Based Data Using Semi-Supervised Classification 30.1 Introduction 30.2 Related Works 30.3 Proposed Approach 30.4 Experimental Details and Results 30.5 Conclusion References 31 A Three-Phase Fuzzy and A* Approach to Sensor Deployment and Transmission 31.1 Introduction 31.2 Related Work 31.3 Proposed Model 31.4 Complexity Analysis of Algorithms for Data Transmission 31.5 Experimental Analysis 31.6 Motivation and Limitations of Research 31.7
Автор: | Группа авторов |
Издательство: | John Wiley & Sons Limited |
Серия: | |
Жанр произведения: | Техническая литература |
Год издания: | 0 |
isbn: | 9781119792628 |
25 State-of-the-Art Optimization and metaheuristic Algorithms
25.1 Introduction
25.2 An Overview of Traditional Optimization Approaches
25.3 Properties of Metaheuristics
25.4 Classification of Single Objective Metaheuristic Algorithms
25.5 Applications of Single Objective metaheuristic Approaches
25.6 Classification of Multi-Objective Optimization Algorithms
25.7 Hybridization of MOPs Algorithms
25.8 Parallel Multi-Objective Optimization
25.9 Applications of Multi-Objective Optimization
25.10 Significant Contributions of Researchers in Various Metaheuristic Approaches
25.11 Conclusion
25.12 Major Findings, Future Scope of Metaheuristics and Its Applications
25.13 Limitations and Motivation of Metaheuristics
Acknowledgements
References
26 Model Reduction and Controller Scheme Development of Permanent Magnet Synchronous Motor Drives in the Delta Domain Using a Hybrid Firefly Technique
26.1 Introduction
26.2 Proposed Methodology
26.3 Simulation Results
26.4 Conclusions
References
27 A New Parameter Estimation Technique of Three-Diode PV Cells
27.1 Introduction
27.2 Problem Statement
27.3 Proposed Method
27.4 Simulation Results and Discussions
27.5 Conclusions
References