
Integration of Cloud Computing and IoT
Trends, Case Studies and Applications
- 528 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Integration of Cloud Computing and IoT
Trends, Case Studies and Applications
About this book
This book presents cutting-edge research, advanced techniques, and practical applications of the integration of Cloud Computing and Internet of Things (IoT). It explores the practical challenges associated with the development and deployment of Cloud Computing and IoT-based solutions, including security, privacy, and interoperability issues. It includes various case studies, including Smart Cities, Network Security, Healthcare, Smart Urban Sensing, Agriculture, Mining, Railways, and Crime Investigations. It offers in-depth insights, developments, and practical applications, showcasing helpful tools and techniques in IoT and Cloud Computing.
Key Features
• Provide a comprehensive and accessible resource that covers a broad range of topics on the integration of Cloud Computing and IoT.
• Shows how Cloud Computing and IoT are applied to various challenging situations.
• Covers in-depth inference of Cloud Computing and IoT to real-world issues, which will assist the industrial sector in growth.
• Includes discussion of how robust privacy solutions are important to enable effective integration between Cloud Computing and IoT-based applications.
• Offers case studies and real-life examples from various sectors, including healthcare, agriculture, mining, smart transport, and underwater communication.
The book is a comprehensive guide for professionals, researchers, and students interested in the latest Cloud Computing and IoT developments.
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Information
Table of contents
- Cover Page
- Half-Title Page
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- List of Contributors
- Chapter 1 Fundamental Concepts of Cloud Computing
- Chapter 2 Fundamental Concepts of IoT
- Chapter 3 Sustainable Marketing and Retailing: A Cloud Computing and Internet of Things (IoT) Approach
- Chapter 4 Embedded IoT, Cloud, and Deep Neural Network-based Stress Prediction System Using Facial Expressions
- Chapter 5 Cloud IoT in Healthcare Transforming Patient Monitoring and Data Analytics
- Chapter 6 Cloud-Internet of Things in Smart Healthcare Systems
- Chapter 7 Bridging the Gap: Harnessing Cloud Computing and IoT for Wildlife Conservation
- Chapter 8 Smart Farming Solutions: Unveiling the Power of Cloud-IoT Integration
- Chapter 9 Cloud-IoT Applications in Agriculture
- Chapter 10 Cloud IoT in Railways
- Chapter 11 Cloud IoT in Railways: Advancements, Challenges, and Future Prospects
- Chapter 12 Cloud IoT Integration for Enhanced Underwater Communication
- Chapter 13 Integration and Applications of Cloud IoT in the Education Sector
- Chapter 14 Cloud-IoT in Underwater Communication
- Chapter 15 Connecting the Future: Cloud-Based IoT in Education
- Chapter 16 The Future of Cloud Computing: A Paradigm Shift with Fog Computing
- Chapter 17 Cloud Computing Architecture: Design, Models, and Implementations
- Chapter 18 Integrating Cloud, IoT, and Artificial Intelligence
- Chapter 19 Enhancing IoT with Cloud-Based Machine Learning: A Comprehensive Integration
- Chapter 20 The Convergence of Cloud, IoT, and Artificial Intelligence for Intelligent Systems
- Chapter 21 A Comprehensive Overview of Cloud Computing and IoT Integration: Trends and Real-world Applications
- Chapter 22 Applications and Challenges of the Integration of Internet of Things with Cloud
- Chapter 23 Cloud Computing, IoT and Machine Learning Techniques for Detection and Classification of Tomato Plants Diseases Due to Pests
- Chapter 24 The Impact of Cloud and IoT Integration in the Education Industry
- Chapter 25 Integration of Artificial Intelligence and Internet of Things in the Banking Sector: A Convergence of Frontiers
- Chapter 26 From Data to Decisions: Cloud, IoT, and AI Integration
- Chapter 27 Comprehensive Review of Recent Trends, Challenges, Applications, and Case Studies in Fog Computing
- Index