The New Advanced Society. Группа авторов. Читать онлайн. Newlib. NEWLIB.NET

Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Программы
Год издания: 0
isbn: 9781119884378
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      1  Cover

      2  Title Page

      3  Copyright

      4  Dedication

      5  Preface

      6  Acknowledgments

      7  1 Post Pandemic: The New Advanced Society 1.1 Introduction 1.2 Conclusions References

      8  2 Distributed Ledger Technology in the Construction Industry Using Corda 2.1 Introduction 2.2 Prerequisites 2.3 Key Points of Corda 2.4 Implementation 2.5 Future Work 2.6 Conclusion References

      9  3 Identity and Access Management for Internet of Things Cloud 3.1 Introduction 3.2 Internet of Things (IoT) Security 3.3 IoT Cloud 3.4 IoT Cloud Related Developments 3.5 Proposed Method for IoT Cloud IAM 3.6 Conclusion References

      10  4 Automated TSR Using DNN Approach for Intelligent Vehicles 4.1 Introduction 4.2 Literature Survey 4.3 Neural Network (NN) 4.4 Methodology 4.5 Experiments and Results 4.6 Discussion 4.7 Conclusion References

      11  5 Honeypot: A Trap for Attackers 5.1 Introduction 5.2 Method 5.3 Cryptanalysis 5.4 Conclusions References

      12  6 Examining Security Aspects in Industrial-Based Internet of Things 6.1 Introduction 6.2 Process Frame of IoT Before Security 6.3 Attacks and Security Assessments in IIoT 6.4 Conclusion References

      13  7 A Cooperative Navigation for Multi-Robots in Unknown Environments Using Hybrid Jaya-DE Algorithm 7.1 Introduction 7.2 Related Works 7.3 Problem Formulation 7.4 Multi-Robot Navigation Employing Hybrid Jaya-DE Algorithm 7.5 Hybrid Jaya-DE 7.6 Simulation Analysis and Performance Evaluation of Jaya-DE Algorithm 7.7 Total Navigation Path Deviation (TNPD) 7.8 Average Unexplored Goal Distance (AUGD) 7.9 Conclusion References

      14  8 Categorization Model for Parkinson’s Disease Occurrence and Severity Prediction 8.1 Introduction 8.2 Applications 8.3 Methodology 8.4 Proposed Models 8.5 Results and Discussion 8.6 Conclusion References

      15  9 AI-Based Smart Agriculture Monitoring Using Ground-Based and Remotely Sensed Images 9.1 Introduction 9.2 Automatic Land-Cover Classification Techniques Using Remotely Sensed Images 9.3 Deep Learning-Based Agriculture Monitoring 9.4