Human Communication Technology. Группа авторов
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Existing Methodology 9.3 Proposed Methodology 9.4 Hardware & Software Requirements 9.5 Experimental Setup 9.6 Results and Discussion 9.7 Conclusion and Future Work References
14 10 Hierarchical Elitism GSO Algorithm For Pattern Recognition 10.1 Introduction 10.2 Related Works 10.3 Methodology 10.4 Experimental Setup 10.5 Discussion 10.6 Conclusion References
15 11 Multidimensional Survey of Machine Learning Application in IoT (Internet of Things) 11.1 Machine Learning—An Introduction 11.2 Internet of Things 11.3 ML in IoT 11.4 Literature Review 11.5 Different Machine Learning Algorithm 11.6 Internet of Things in Different Frameworks 11.7 Smart Cities 11.8 Smart Transportation 11.9 Application of Research 11.10 Machine Learning for IoT Security 11.11 Conclusion References
16 12 IoT-Based Bias Analysis in Acoustic Feedback Using Time-Variant Adaptive Algorithm in Hearing Aids 12.1 Introduction 12.2 Existence of Acoustic Feedback 12.3 Analysis of Acoustic Feedback 12.4 Filtering of Signals 12.5 Adaptive Algorithms 12.6 Simulation 12.7 Performance Evaluation 12.8 Conclusions References
17 13 Internet of Things Platform for Smart Farming 13.1 Introduction 13.2 History 13.3 Electronic Terminologies 13.4 IoT Cloud Architecture 13.5 Components of IoT 13.6 IoT-Based Crop Management System 13.7 Future Prospects 13.8 Conclusion References
18 14 Scrutinizing the Level of Awareness on Green Computing Practices in Combating Covid-19 at Institute of Health Science-Gaborone 14.1 Introduction 14.2 Research Methodology 14.3 Analysis of Data and Presentation 14.4 Recommendations 14.5 Conclusion References
19 15 Detailed Analysis of Medical IoT Using Wireless Body Sensor Network and Application of IoT in Healthcare 15.1 Introduction 15.2 History of IoT 15.3 Internet of Objects 15.4 Applications of IoT 15.5 IoT in Healthcare of Human Beings 15.6 Telemedicine Through a Speech-Based Query System 15.7 Conclusion 15.8 Sensors 15.9 Design of Sensor Nodes 15.10 Applications of BSNs 15.11 Conclusions 15.12 Introduction 15.13 Body-to-Body Network Concept 15.14 Conclusions References
20 16 DCMM: A Data Capture and Risk Management for Wireless Sensing Using IoT Platform 16.1 Introduction 16.2 Background 16.3 Architecture