Go to main content
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS

Linked e-resources

Details

Cover
Title
Copyright
End User License Agreement
Contents
Foreword I
FOREWORD II
FOREWORD III
Foreword II
Foreword III
Preface
Introduction to Artificial Intelligence
1.1. INTRODUCTION
1.2. BACKGROUND
1.2.1. Medicine
1.2.2. Education
1.2.3. Engineering
1.3. WORKING OF ARTIFICIAL INTELLIGENCE
1.4. ISSUES AND CHALLENGES FACED BY AI
1.4.1. Legal Issues
1.4.2. Building Trust
1.4.3. Software Malfunction
1.4.4. AI-human Interface
1.4.5. Productivity
1.5. OVERVIEW OF THE BOOK
CONCLUSION
REFERENCES
Internet of Things (IoT) with AI
2.1. INTRODUCTION
2.2. ARCHITECTURE AND WORKING OF IOT-AI
2.3. APPLICATIONS OF IOT-AI
2.3.1. Smart Transportations
2.3.2. Industry 4.0
2.3.3. Healthcare Applications
2.3.4. Environmental Monitoring
2.3.5. Agricultural Applications
2.3.6. Smart Grids
2.4. CHALLENGES OF IOT-AI
2.4.1. Compatibility
2.4.2. COMPLEXITY
2.4.3. PRIVACY AND SAFETY
2.4.4. ETHICAL AND LEGAL ISSUES
2.5. FUTURE DIRECTIONS OF IOT-AI
2.5.1. Assisted Intelligence
2.5.2. Augmented Intelligence
2.5.3. Autonomous Intelligence
CONCLUSION
REFERENCES
Cloud with AI
3.1. INTRODUCTION
3.2. AI CLOUD INFRASTRUCTURE
3.3. APPLICATIONS OF CLOUD-AI
3.3.1. Banking
3.3.2. E-Commerce
3.3.3. Smart City
3.3.4. Healthcare
3.3.5. Robotics
3.4. CHALLENGES OF CLOUD-AI
3.4.1. Resource Management
3.4.2. Fault Tolerance
3.4.3. Security and Privacy
3.4.4. Serverless Computing
3.4.5. Data Processing
3.5. FUTURE DIRECTIONS OF CLOUD-AI
3.5.1. Edge Computing
3.5.2. Distributed Ledger
3.5.3. Cryptocurrency
3.5.4. Supporting Analytics
CONCLUSION
REFERENCES
Integration of AI and IoT-cloud
4.1. INTRODUCTION
4.2. CHARACTERISTICS OF INTEGRATION
4.2.1. Ubiquitous Sensing.

4.2.2. Virtual Maintenance
4.2.3. Service-oriented Provision
4.2.4. Efficient Collaboration and Seamless Integration
4.2.5. Knowledge-intensive Approach
4.3. APPLICATIONS OF AI AND IOT-CLOUD
4.3.1. Smart Meters
4.3.2. Smart Cities
4.3.3. Smart Agriculture
4.3.4. Smart Healthcare
4.3.5. Smart Industry
4.4. CHALLENGES OF AI AND IOT-CLOUD
4.4.1. Data Privacy and Security
4.4.2. Quality of Service
4.4.3. Context Awareness
4.4.4. Security and Compliance
4.4.5. Quick Response Times
4.4.6. Enhancements in Current BI Software Solutions
4.5. FUTURE OF AI AND IOT-CLOUD
4.5.1. Fog Computing
4.5.2. Quantum Computing
4.5.3. Software-defined Networks
4.5.4. Business Data Analytics
4.5.5. Data Science
CONCLUSION
REFERENCES
Use Cases
5.1. INTRODUCTION
5.2. USE CASES OF IOT-AI
5.3. USE CASES OF CLOUD-AI
5.4. USE CASES OF AI AND IOT-CLOUD
CONCLUSION
REFERENCES
Subject Index
Back Cover.

Browse Subjects

Show more subjects...

Statistics

from
to
Export