Convergence of Cloud with AI for Big Data Analytics

Table of contents

1. Cover
2. Series Page
3. Title Page
4. Copyright Page
5. Preface
6. 1 Integration of Artificial Intelligence, Big Data, and Cloud Computing with Internet of Things
   1. 1.1 Introduction
   2. 1.2 Roll of Artificial Intelligence, Big Data and Cloud Computing in IoT
   3. 1.3 Integration of Artificial Intelligence with the Internet of Things Devices
   4. 1.4 Integration of Big Data with the Internet of Things
   5. 1.5 Integration of Cloud Computing with the Internet of Things
   6. 1.6 Security of Internet of Things
   7. 1.7 Conclusion
   8. References
7. 2 Cloud Computing and Virtualization
   1. 2.1 Introduction to Cloud Computing
   2. 2.2 Virtualization
   3. 2.3 Conclusion
   4. References
8. 3 Time and Cost-Effective Multi-Objective Scheduling Technique for Cloud Computing Environment
   1. 3.1 Introduction
   2. 3.2 Literature Survey
   3. 3.3 Cloud Computing and Cloudlet Scheduling Problem
   4. 3.4 Problem Formulation
   5. 3.5 Cloudlet Scheduling Techniques
   6. 3.6 Cloudlet Scheduling Approach (CSA)
   7. 3.7 Simulation Results
   8. 3.8 Conclusion
   9. References
9. 4 Cloud-Based Architecture for Effective Surveillance and Diagnosis of COVID-19
   1. 4.1 Introduction
   2. 4.2 Related Work
   3. 4.3 Research Methodology
   4. 4.4 Survey Findings
   5. 4.5 Conclusion and Future Scope
   6. References
10. 5 Smart Agriculture Applications Using Cloud and IoT
    1. 5.1 Role of IoT and Cloud in Smart Agriculture
    2. 5.2 Applications of IoT and Cloud in Smart Agriculture
    3. 5.3 Security Challenges in Smart Agriculture
    4. 5.4 Open Research Challenges for IoT and Cloud in Smart Agriculture
    5. 5.5 Conclusion
    6. References
11. 6 Applications of Federated Learning in Computing Technologies
    1. 6.1 Introduction
    2. 6.2 Advantages of Federated Learning
    3. 6.3 Conclusion
    4. References
12. 7 Analyzing the Application of Edge Computing in Smart Healthcare
    1. 7.1 Internet of Things (IoT)
    2. 7.2 Edge Computing
    3. 7.3 Edge Computing and Real Time Analytics in Healthcare
    4. 7.4 Edge Computing Use Cases in Healthcare
    5. 7.5 Future of Healthcare and Edge Computing
    6. 7.6 Conclusion
    7. References
13. 8 Fog-IoT Assistance-Based Smart Agriculture Application
    1. 8.1 Introduction
    2. Conclusion and Future Scope
    3. References
14. 9 Internet of Things in the Global Impacts of COVID-19
    1. 9.1 Introduction
    2. 9.2 COVID-19 – Misconceptions
    3. 9.3 Global Impacts of COVID-19 and Significant Contributions of IoT in Respective Domains to Counter the Pandemic
    4. 9.4 Conclusions
    5. References
15. 10 An Efficient Solar Energy Management Using IoT-Enabled Arduino-Based MPPT Techniques
    1. 10.1 Introduction
    2. 10.2 Impact of Irradiance on PV Efficiency
    3. 10.3 Design and Implementation
    4. 10.4 Result and Discussions
    5. 10.5 Conclusions
    6. References
16. 11 Axiomatic Analysis of Pre-Processing Methodologies Using Machine Learning in Text Mining
    1. 11.1 Introduction
    2. 11.2 Text Pre-Processing – Role and Characteristics
    3. 11.3 Modern Pre-Processing Methodologies and Their Scope
    4. 11.4 Text Stream and Role of Clustering in Social Text Stream
    5. 11.5 Social Text Stream Event Analysis
    6. 11.6 Embedding
    7. 11.7 Description of Twitter Text Stream
    8. 11.8 Experiment and Result
    9. 11.9 Applications of Machine Learning in IoT (Internet of Things)
    10. 11.10 Conclusion
    11. References
17. 12 APP-Based Agriculture Information System for Rural Farmers in India
    1. 12.1 Introduction
    2. 12.2 Motivation
    3. 12.3 Related Work
    4. 12.4 Proposed Methodology and Experimental Results Discussion
    5. 12.5 Conclusion and Future Work
    6. References
18. 13 SSAMH – A Systematic Survey on AI-Enabled Cyber Physical Systems in Healthcare
    1. 13.1 Introduction
    2. 13.2 The Architecture of Medical Cyber-Physical Systems
    3. 13.3 Artificial Intelligence-Driven Medical Devices
    4. 13.4 Certification and Regulation Issues
    5. 13.5 Big Data Platform for Medical Cyber-Physical Systems
    6. 13.6 The Emergence of New Trends in Medical Cyber-Physical Systems
    7. 13.7 Eminence Attributes and Challenges
    8. 13.8 High-Confidence Expansion of a Medical Cyber-Physical Expansion
    9. 13.9 Role of the Software Platform in the Interoperability of Medical Devices
    10. 13.10 Clinical Acceptable Decision Support Systems
    11. 13.11 Prevalent Attacks in the Medical Cyber-Physical Systems
    12. 13.12 A Suggested Framework for Medical Cyber-Physical System
    13. 13.13 Conclusion
    14. References
19. 14 ANN-Aware Methanol Detection Approach with CuO-Doped SnO2 in Gas Sensor
    1. 14.1 Introduction
    2. 14.2 Network Architectures
    3. References
20. 15 Detecting Heart Arrhythmias Using Deep Learning Algorithms
    1. 15.1 Introduction
    2. 15.2 Motivation
    3. 15.3 Literature Review
    4. 15.4 Proposed Approach
    5. 15.5 Experimental Results of Proposed Approach
    6. 15.6 Conclusion and Future Scope
    7. References
21. 16 Artificial Intelligence Approach for Signature Detection
    1. 16.1 Introduction
    2. 16.2 Literature Review
    3. 16.3 Problem Definition
    4. 16.4 Problem Definition
    5. 16.5 Result Analysis
    6. 16.6 Conclusion
    7. References
22. 17 Comparison of Various Classification Models Using Machine Learning to Predict Mobile Phones Price Range
    1. 17.1 Introduction
    2. 17.2 Materials and Methods
    3. 17.3 Application of the Model
    4. 17.4 Results and Comparison
    5. 17.5 Conclusion and Future Scope
    6. References
23. Index
24. Also of Interest
25. End User License Agreement