Multi-disciplinary applications of fog computing /

Bibliographic Details
Corporate Author:	IGI Global Online
Other Authors:	Kauser, P. Ahmed (Editor), Acharjya, Debi Prasanna (Editor)
Format:	eBook
Language:	English
Published:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, c2023
Subjects:	Cloud computing. Data mining. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Preface
Acknowledgment
Chapter 1. Fog Computing Foundations and Applications
Chapter 1. Fog Computing Foundations
Chapter 2. Resource Allocation in Fog Computing
Chapter 3. Fog Computing Applications
Chapter 4. An Integrated Fog Computing With Machine Learning Techniques for Diagnosis of Thyroid Disease
Chapter 2. Fog Computing for Data Analytics
Chapter 5. Health Preventive Measure as a Service (HPMaaS): An Intelligent Fog-Cloud-Based Approach for Detection of Diseases Through Smart Phone Sensors
Chapter 6. Quality and Performance Measures in Healthcare Systems Using Fog Computing
Chapter 7. Analytical Approaches to QoS Analysis and Performance Modelling in Fog Computing
Chapter 8. Fog Computing for Spatial Data Infrastructure: Challenges and Opportunities
Chapter 3. Multi-Disciplinary Applications of Fog Computing
Chapter 9. Application of Fog Computing in the Retail Industry for Transition to Retail 4.0: An Overview
Chapter 10. Remote Health Prediction System: A Machine Learning-Based Approach
Chapter 11. Comparison of Hybrid Artificial Neural Networks With GA, PSO, and RSA in Predicting COVID-19 Cases: A Case Study of India
Compilation of References
About the Contributors
Index.