http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Multi-disciplinary applications of fog computing
1 online resource ( 24 PDFs xix, 280 pages) :
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.
Debi Prasanna Acharjya, P. Ahmed Kauser, editors.
Includes bibliographical references and index.