Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation

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