Machine Learning Paradigm for Internet of Things Applications. Группа авторов

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      13  9 Route Optimization for Perishable Goods Transportation System 9.1 Introduction 9.2 Related Works 9.3 Proposed Methodology 9.4 Proposed Work Implementation 9.5 Conclusion References

      14  10 Fake News Detection Using Machine Learning Algorithms 10.1 Introduction 10.2 Literature Survey 10.3 Methodology 10.4 Experimental Results 10.5 Conclusion References

      15  11 Opportunities and Challenges in Machine Learning With IoT 11.1 Introduction 11.2 Literature Review 11.3 Why Should We Care About Learning Representations? 11.4 Big Data 11.5 Data Processing Opportunities and Challenges 11.6 Learning Opportunities and Challenges 11.7 Enabling Machine Learning With IoT 11.8 Conclusion References

      16  12 Machine Learning Effects on Underwater Applications and IoUT 12.1 Introduction 12.2 Characteristics of IoUT 12.3 Architecture of IoUT 12.4 Challenges in IoUT 12.5 Applications of IoUT 12.6 Machine Learning 12.7 Simulation and Analysis 12.8 Conclusion References

      17  13 Internet of Underwater Things: Challenges, Routing Protocols, and ML Algorithms 13.1 Introduction 13.2 Internet of Underwater Things 13.3 Routing Protocols of IoUT 13.4 Machine Learning in IoUT 13.5 Performance Evaluation 13.6 Conclusion References

      18  14 Chest X-Ray for Pneumonia Detection 14.1 Introduction 14.2 Background 14.3 Research Methodology 14.4 Results and Discussion 14.5 Conclusion Acknowledgment References

      19  Index

      20  End User License Agreement

      List of Illustrations