,Table of Contents
Cover image
Title page
Copyright
List of contributors
About the editors
Preface
Chapter 1. Impact of Artificial Intelligence on Future Green Communication
Abstract
1.1 Introduction
1.2 The History of Artificial Intelligence
1.3 A Road Map of Using Artificial Intelligence for Green Communication
1.4 Key Technologies to Make 5G in Reality Using Artificial Intelligence
1.5 Features of Artificial Intelligence-Based Green Communication
1.6 Conclusion
Acknowledgment
References
Chapter 2. Knowledge Representation and Reasoning in AI-Based Solutions and IoT Applications
Abstract
2.1 Introduction
2.2 Background
2.3 Knowledge Representation and Reasoning
,2.4 Knowledge Inference, Forward and Backward Chaining, and KL-One Languages
2.5 Artificial Intelligence
2.6 Artificial Intelligence for Information Technology Operations
2.7 AI, KRR and IoT Functions
2.8 Artificial Intelligence Applications and Tools
2.9 Machine Learning and Deep Learning
2.10 Robotic Process Automation
2.11 Internet of Things
2.12 Natural-Language Understanding and Interpretation
2.13 Learning Using Privileged Information
2.14 Picture Archiving and Communication System
2.15 Infrastructure-Based Mobile Networks
2.16 Dynamically Created Mobile Ad Hoc Networks
2.17 Intelligent Agents, Conversational and Natural Intelligence
2.18 Advanced Metering Infrastructure
2.19 Distributed Automation Networks
2.20 Optical Character Recognition and Human Minds
2.21 Simple Neural and Biological Neural Networks
2.22 Machine Intelligence Learning and Deep Learning
2.23 Upper Ontology and Machine Translation
2.24 Frame Problem and CycL Projects and Semantic Web of Things
2.25 Presenting, Reasoning, and Problem Solving
2.26 Simple Neural Networks, Artificial Neural Networks, and Natural Language Processing
, 2.27 Contextual Artificial Intelligence Perspectives
2.28 Complex Artificial Intelligence Systems and Swarm Intelligence
2.29 The Impact of Smart Dust on IoT Technology
2.30 The Next Generation of Computers and Functional Trends
2.31 Conclusion and Future Reading
References
Further reading
Chapter 3. Artificial Intelligence, Internet of Things, and Communication Networks
Abstract
3.1 Introduction
3.2 Machine Learning/Artificial Intelligence-Assisted Networking
3.3 Artiticial Intelligence in Communication Networks
3.4 Transforming Optical Industries by Artificial Intelligence
3.5 Artificial Intelligence in Optical Transmission
3.6 Artificial Intelligence in Optical Networking
3.7 Advantages of Machine Learning in Networking
3.8 Optical Technologies to Support Internet of Things
3.9 Applications of Internet of Things with Optical Technologies
3.10 Conclusion
References
Chapter 4. AI and IoT Capabilities: Standards, Procedures, Applications, and Protocols
Abstract
4.1 Introduction
Cover image
Title page
Copyright
List of contributors
About the editors
Preface
Chapter 1. Impact of Artificial Intelligence on Future Green Communication
Abstract
1.1 Introduction
1.2 The History of Artificial Intelligence
1.3 A Road Map of Using Artificial Intelligence for Green Communication
1.4 Key Technologies to Make 5G in Reality Using Artificial Intelligence
1.5 Features of Artificial Intelligence-Based Green Communication
1.6 Conclusion
Acknowledgment
References
Chapter 2. Knowledge Representation and Reasoning in AI-Based Solutions and IoT Applications
Abstract
2.1 Introduction
2.2 Background
2.3 Knowledge Representation and Reasoning
,2.4 Knowledge Inference, Forward and Backward Chaining, and KL-One Languages
2.5 Artificial Intelligence
2.6 Artificial Intelligence for Information Technology Operations
2.7 AI, KRR and IoT Functions
2.8 Artificial Intelligence Applications and Tools
2.9 Machine Learning and Deep Learning
2.10 Robotic Process Automation
2.11 Internet of Things
2.12 Natural-Language Understanding and Interpretation
2.13 Learning Using Privileged Information
2.14 Picture Archiving and Communication System
2.15 Infrastructure-Based Mobile Networks
2.16 Dynamically Created Mobile Ad Hoc Networks
2.17 Intelligent Agents, Conversational and Natural Intelligence
2.18 Advanced Metering Infrastructure
2.19 Distributed Automation Networks
2.20 Optical Character Recognition and Human Minds
2.21 Simple Neural and Biological Neural Networks
2.22 Machine Intelligence Learning and Deep Learning
2.23 Upper Ontology and Machine Translation
2.24 Frame Problem and CycL Projects and Semantic Web of Things
2.25 Presenting, Reasoning, and Problem Solving
2.26 Simple Neural Networks, Artificial Neural Networks, and Natural Language Processing
, 2.27 Contextual Artificial Intelligence Perspectives
2.28 Complex Artificial Intelligence Systems and Swarm Intelligence
2.29 The Impact of Smart Dust on IoT Technology
2.30 The Next Generation of Computers and Functional Trends
2.31 Conclusion and Future Reading
References
Further reading
Chapter 3. Artificial Intelligence, Internet of Things, and Communication Networks
Abstract
3.1 Introduction
3.2 Machine Learning/Artificial Intelligence-Assisted Networking
3.3 Artiticial Intelligence in Communication Networks
3.4 Transforming Optical Industries by Artificial Intelligence
3.5 Artificial Intelligence in Optical Transmission
3.6 Artificial Intelligence in Optical Networking
3.7 Advantages of Machine Learning in Networking
3.8 Optical Technologies to Support Internet of Things
3.9 Applications of Internet of Things with Optical Technologies
3.10 Conclusion
References
Chapter 4. AI and IoT Capabilities: Standards, Procedures, Applications, and Protocols
Abstract
4.1 Introduction
