Springer innovations in communication and computing.

Contents Intro -- Preface -- Acknowledgments -- Contents -- About the Editors -- Application Areas, Benefits, and Research Challenges of Converging Blockchain and Machine Learning Techniques -- 1 Introduction -- 2 Literature Review -- 3 Overview of Blockchain -- 3.1 What Is Blockchain? -- 4 Overview of Machine Learning -- 4.1 What Is Machine Learning? -- 4.2 History of Machine Learning -- 4.3 Taxonomy of ML Technology -- 4.3.1 Supervised Machine Learning -- 4.3.2 Unsupervised Machine Learning -- 4.3.3 Semi-Supervised Machine Learning -- 4.3.4 Reinforcement Learning Algorithm

5 Benefits of Converging Machine Learning and Blockchain Technologies -- 5.1 Security Enhancement -- 5.2 Managing the Data Market Place -- 5.3 Intensifying Efforts to Reduce Energy Consumption -- 5.4 Handling Larger Data -- 5.5 Crypto Contract -- 5.6 Communication and Networking Systems -- 6 Application Areas of Blockchain-Based Machine Learning Models -- 6.1 Supply Chain and Logistics -- 6.2 Automation in Manufacturing -- 6.3 Energy and Utilities -- 6.4 Enhanced Customer Service -- 6.5 Data Trading -- 6.6 Product Manufacturing -- 6.7 Smart Cities -- 7 Research Challenges -- 8 Conclusion

9 Future Directions -- References -- Internet of Things and Blockchain in Healthcare: Challenges and Solutions -- 1 Introduction -- 1.1 Security Concerns and Privacy Preservation -- 2 Literature Review on IoT and Blockchain in the Healthcare Domain -- 3 Case Study: IoT and Blockchain in the Healthcare Field -- 3.1 Using Hash for Blockchain -- 3.2 Generating Hashed Text -- 3.3 Blocks in the Blockchain Model -- 3.4 Stages of Suggested Distributed Blockchain Model -- 3.5 Token Transferring in Blockchain -- 3.6 Proposed IoT Model for Blockchain-Based Hospital Network

4 Analysis of IoT and Blockchain in the Healthcare Domain -- 4.1 Hashed Text Created Blockchain Transaction -- 5 Summary -- References -- A Conceptual Model for the Role of Blockchain in Overcoming Supply Chain Challenges -- 1 Introduction -- 2 Related Research -- 3 Supply Chain Challenges -- 4 Research Method -- 4.1 Cases Collection -- 4.2 Case Selection -- 5 Findings -- 5.1 Case 1: TradeLens -- 5.2 Case 2: Everledger -- 5.3 Case 3: Provenance -- 5.4 Case 4: CargoX -- 5.5 Case 5: Modum -- 5.6 Case 6: Chronicled -- 5.7 Case 7: OriginTrail -- 5.8 Case 8: IBM Food Trust -- 5.9 Case 9: VeChain

5.10 Case 10: Dltledgers -- 6 Conceptual Model -- 7 Discussion and Implications -- 7.1 Implications for Research -- 7.2 Implications for Practice -- 8 Limitations and Future Research -- Appendix -- References -- A Hybrid Application of Quantum Computing Methodologies to AI Techniques for Paddy Crop Leaf Disease Identification -- 1 Introduction -- 2 Literature Survey -- 3 Types of Paddy Diseases -- 4 Leaf Disease Identification Using Quantum Computing -- 5 Conversion of Leaf Images for Prediction -- 6 Quantum Image Formats -- 7 Quantum Image Operation -- References -- Cognitive Computing for the Internet of Medical Things

Summary This book discusses the convergence of artificial intelligence (AI) and Blockchain and how they can work together to help reach the goals of Industry 4.0. The authors first discuss how AI and Blockchain can help increase performance in business. The authors go on to discuss how the technologies can integrate to provide a competitive edge for businesses through improvements in big data, which has allowed firms to organize huge datasets into structured components that computers can process quickly. The authors also cover security implications and how AI and Blockchain can act as a double-edged sword against cyber-attacks. Impacts in programming, calculations, robotization, robots, and equipment are also discussed. This book caters to an extensive cross-sectional and multi-disciplinary readership. Academics, researchers and their students in topics such as artificial intelligence, cyber-physical systems, ethics, robotics, safety engineering, and safety-critical systems should find the book of value. Includes diverse perspectives on how Blockchain and artificial intelligence are converging to meet the needs of Industry 4.0; Focuses on technology trends that are helping to build a resilient society; Considers improvements in how we do business, trade, work, produce goods, learn, and seek medical services

Subject Industry 4.0 -- Data processing

Blockchains (Databases) -- Industrial applications

Artificial intelligence -- Industrial applications

Artificial intelligence -- Industrial applications.

Form Electronic book

Author Goundar, Sam, 1967-

Anandan, R.

ISBN 9783031357510

3031357515

Permalink

20812 results found. Sorted by relevance | date | title .