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

follow 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 End User License Agreement