Artificial Intelligence of Things for Achieving Sustainable Development Goals (Lecture Notes on Data Engineering and Communications Technologies, 192)

Preface
Contents
About the Editors
Reconsidering a Sustainable Future Through Artificial Intelligence of Things (AIoT) in the Context of Circular Economy
	1 Introduction
	2 Circular Economy and the 4R Sustainability Framework
		2.1 The Circular Economy
		2.2 The 3R Principles
		2.3 The 4R Sustainability Framework Depicted
	3 Sociocultural, Technical, Economic, Environmental, Political, Legal, Ethical, and Demographic (STEEPLED) Analysis
		3.1 The Sociocultural Dimension
		3.2 The Technical (or Technological) Dimension
		3.3 The Economic Dimension
		3.4 The Environmental Dimension
		3.5 The Political Dimension
		3.6 The Legal Dimension
		3.7 The Ethical Dimension
		3.8 The Demographic Dimension
	4 Using AI to Support the Achievement of SDGs
		4.1 AI and Zero Hunger (SDG 2)
		4.2 AI and Quality Education (SDG 4)
		4.3 AI and Affordable and Clean Energy (SDG 7)
		4.4 AI and Sustainable Cities and Communities (SDG 11)
	5 Conclusions
	References
The Digital Paradigm: Unraveling the Impact of Artificial Intelligence and Internet of Things on Achieving Sustainable Development Goals
	1 Introduction
	2 Applications and Technologies of AIoT for SDGs
		2.1 AIoT and Infrastructure Development
		2.2 AIoT and Health Care Sector
		2.3 AIoT and Intelligent Transport Systems
		2.4 AIoT and Smart City
		2.5 AIoT and Agriculture
	3 The Role of Big Data, Cyber-Physical Systems, Intelligent Systems, and Blockchain in SDGs
		3.1 Big Data and SDGs
		3.2 Cyber-Physical System and SDGs
		3.3 Intelligent Systems and SDGs
		3.4 Blockchain and SDGs
	4 Ethics and Governance of AIoT for SDGs
		4.1 Ethical Benefits of AI and SDGs
		4.2 Ethical Issues and SDGs
	5 Discussion, Challenges, and Future Directions
	6 Conclusion
	References
The Role of the Artificial Intelligence of Things in Energy Poverty Alleviation
	1 Introduction
	2 State of the Art: AIoT and EP Alleviation
	3 AIoT-Based Approaches for EP Characterization
		3.1 Socioeconomical Situation
		3.2 High Energy Bills
		3.3 Poor Energy Efficiency
	4 AIoT Approaches for Thermal Comfort Characterization
	5 The Future of the AIoT for Eradicating Energy Poverty
	6 Conclusions
	References
AIoT-Enabled Smart Grids: Advancing Energy Efficiency and Renewable Energy Integration
	1 Introduction
	2 Evolution of AIoT and Its Application in Energy Systems
	3 Literature Review
	4 AIoT-Enabled Smart Grids: Concepts and Framework
	5 Advancing Energy Efficiency Through AIoT in Smart Grids
	6 Renewable Energy Integration in AIoT-Enabled Smart Grids
		6.1 AIoT for Forecasting and Optimizing Renewable Energy Generation
		6.2 Smart Grid Control for Grid Stability with High Renewables
	7 Addressing Challenges and Security Concerns
		7.1 Technical Challenges in AIoT Implementation for Smart Grids
		7.2 Mitigating Risks and Ensuring Reliable Operations
	8 Future Trends and Innovations
	9 Conclusion
	References
Achieving SDGs Using AI Techniques and Digital Twins for Nuclear Power Plants: A Review
	1 Introduction
	2 Overview of NPP, Stages, and Usage of DT for SDGs
	3 AI Tools for NPP
		3.1 AI Tools for NPP Decision-Making and Simulations
		3.2 AI Tools for NPP Optimization and Operations
	4 Achieving SDGs by the Implementation of DTs
	5 Discussion, Open Challenges, and Future Research
		5.1 Challenges in Data Availability and Analysis
		5.2 Challenges in Computational Overhead
		5.3 Challenges in Data Security
		5.4 Challenges in ML and AI
		5.5 Future Study Recommendations
	6 Conclusion
	References
Carbon and Decarbonization Disclosure: Role of Responsible Innovation in Adoption of Artificial Intelligence of Things Towards SDGs
	1 Introduction
	2 Carbon Disclosure: A Conceptualization Within the Performance Paradigm
		2.1 Carbon Disclosure and Financial Performance
		2.2 Carbon Disclosure and Operational Performance
		2.3 Carbon Disclosure and Sustainable Performance
	3 Contribution of the Theories to the Carbon Disclosure Concept
		3.1 Carbon Disclosure Under Institutional Theory
		3.2 Carbon Disclosure Under Legitimacy Theory
		3.3 Carbon Disclosure Under Stakeholders Theory
	4 Artificial Intelligence of Things in the Decarbonization Practices
		4.1 Artificial Intelligence to Climate Change in the Decarbonization Practices: Performance and Non-financial Disclosure
		4.2 Internet of Things to Climate Change in the Decarbonization Practices: Performance and Non-financial Disclosure
		4.3 Artificial Intelligence of Things Framework to Sustainable Development Goals-UN 2030 Agenda
	5 Responsible Innovation from Artificial Intelligence of Things Towards Sustainable Development Goal 5 (SDG 5)
		5.1 Responsible Innovation from Artificial Intelligence Adoption in the Decarbonization Practices to SDG-5
		5.2 Responsible Innovation from Internet of Things Adoption in the Decarbonization Practice to SDG-5
		5.3 Responsible Innovation from Artificial Intelligence of Things in the Non-financial Disclosure
	6 Conceptual Framework of Carbon Disclosure and Decarbonization Practices with Perspective of Sustainable Development Goals
	7 Conclusion
		7.1 Limitations of the Study
		7.2 Directions for Future Research
	References
Artificial Intelligence of Things (AIoT) Solutions for Sustainable Agriculture and Food Security
	1 Introduction
	2 Literature Review
	3 AIoT Applications in Sustainable Agriculture
		3.1 Smart Irrigation and Water Management
		3.2 Livestock Management and Health Monitoring
	4 AIoT in Food Supply Chain Management
	5 Challenges and Barriers
		5.1 Solution and Mitigation
	6 Policy and Regulatory Considerations
	7 Case Studies and Real-World Implementations
		7.1 Best Practices and Real-World Lessons
	8 Future Trends and Innovations
		8.1 Future Trends and Innovations in AIoT
		8.2 Integration of AIoT, AI, and Machine Learning
		8.3 The Possible Effect of 5G and Edge Computing on Applications in Farming
	9 Conclusion
	References
AIoT-Enabled Precision Agriculture for Sustainable Crop Disease Management: Advancing SDGs Through Graph Attention Neural Networks
	1 Introduction
		1.1 Justification of the Research
	2 Related Work
		2.1 Crop Diseases
		2.2 Artificial Intelligence of Things (AIoT)
		2.3 Multi-Object Techniques
		2.4 Graph Attention Neural Networks (GATs)
		2.5 Literature Review
	3 Methodology
	4 Experiment Comparison and Analysis
		4.1 Discussion of Results
	5 Conclusion
	References
Sustainable Healthcare 5.0: Integration of IoT and Blockchain Technology with Federated Learning Model for Securing Healthcare Data
	1 Introduction
		1.1 Organization of the Paper
	2 Related Literature and Proposed Model Architecture
		2.1 Literature Review
		2.2 Model Construction
	3 Experimental Analysis
		3.1 Flower Framework
		3.2 GRPC Protocol
		3.3 Proof of Authority (PoA)
	4 Result Transformation and Analysis
	5 Discussion
	6 Conclusion
	References
IoT-Enabled Machine Learning for Enhanced Diagnosis of Diabetes and Heart Disease in Resource-Limited Settings
	1 Introduction
	2 System Analysis and Design
		2.1 Model Design
		2.2 Methodology
		2.3 Flowchart Algorithm
		2.4 Performance Evaluation Matrices
		2.5 Web Deployment
	3 Result Analysis
		3.1 Support Vector Machine (SVM) and Logical Regression (LR) Performance Evaluation
		3.2 Model Deployment
		3.3 Flowchart Algorithm
	4 Discussion
	5 Conclusion
	References
Achieving Sustainable Development Goals in Cyber Security Using AIoT for Healthcare Application
	1 Introduction
	2 Related Literature
		2.1 Discussion
	3 Cyber Security Challenges in the HealthCare Sector Considering SDG
		3.1 Integration of Blockchain and SDG in Healthcare Sector for Cybersecurity
		3.2 Improvements in Data Management and Privacy (SDGs 3 and 16: Peace, Justice, and Strong Institutions):
	4 Management of the Medical Supply Chain (SDGs 3 and 9: Industry, Innovation, and Infrastructure):
	5 Studying and Conducting Clinical Trials (SDGs 3 and 9: Industry, Innovation, and Infrastructure):
		5.1 Sustainable Healthcare Ecosystem Using Cloud Computing for Cybersecurity
		5.2 Integration of Sustainability Development Using Artificial Intelligence and Machine Technology in Healthcare for Cybersecurity
	6 Cyber Risks and Threats in the Healthcare Sector
		6.1 Phishing Schemes, Use of Internet of Things (IoT) Devices, Insider Threats, Cloud-Based Environments
	7 Security Measures in Healthcare to Protect Medical Information
		7.1 Use of Anti-Virus in Cybersecurity in Healthcare Systems
		7.2 Securing Monetary Data
		7.3 Cybersecurity Solutions for Healthcare
	8 The Relevance of Sustainable Development Goals in Healthcare Cybersecurity
	9 Conclusion
	References
Machine Learning as a Methodological Resource in the Classroom
	1 Introduction
		1.1 LearningML and Scratch in Education Projects with AI
	2 Justification and Objectives
	3 Study Method
		3.1 Participants
		3.2 Procedure
	4 Results
	5 Discussion
	6 Conclusions
	7 Limitations
	8 Future Research Lines
	9 Theoretical and Practical Implications of This Research
	Appendix A
	References
A Framework for AIoT-Based Smart Sustainable Marketing System
	1 Introduction
	2 Artificial Intelligence of Things (AIoT)
	3 Digital and Sustainable Marketing
	4 The Effects of Artificial Intelligence on Marketing and Sustainable Development
	5 Internet of Things and Marketing
		5.1 Increasing Influence in Marketing
		5.2 Interactivity and the Ability to Provide Information at the Same Time
		5.3 Real-Time Customer Analysis
		5.4 Prediction of Social Networks
	6 AIoT-Based Marketing
	7 Conclusion
	References
Enabling Sustainable Transportation Through IoT and AIoT Innovations
	1 Introduction
	2 IoT and AIoT Technologies for Sustainable Transportation
	3 Improving Traffic Management and Efficiency
		3.1 Case Studies of Smart Traffic Management Systems
	4 Enhancing Public Transportation Systems
		4.1 Benefits of Implementing Smart Public Transportation
		4.2 Challenges of Implementing Smart Public Transportation
	5 Intelligent Transportation Systems for Safety and Security
		5.1 IoT-Based V2V Communication for Collision Avoidance
	6 Environmental Sustainability and Emission Reduction
	7 Barriers to IoT and AIoT Implementation in Transportation
		7.1 Future Trends and Potential Advancements in Sustainable Transportation
	8 Conclusion
	References
Investigating Key Dimensions and Key Indicators of AIoT-Based Supply Chain in Sustainable Business Development
	1 Introduction
	2 Artificial Intelligence of Things (AIoT)
	3 IoT and Sustainable Development of the Supply Chain
	4 Artificial Intelligence and Sustainable Development of the Supply Chain
	5 AIoT-Based Supply Chain in Sustainable Business Development
	6 Conclusion
	References
AIoT and Its Trust Models to Enhance Societal Applications Using Intelligent Technologies
	1 Introduction
	2 Role of AI in IoT and Trust Model Integration
		2.1 Data Mining-Based Model
		2.2 Direct Trust Evaluation Model
		2.3 Assisting Trust Evaluation Model
		2.4 Deep Learning-Based Trust Management
	3 The Impacts of Digitization on SDG and Security Measures in AIoT
		3.1 Energy Consumption
		3.2 Smart Agriculture
		3.3 Healthcare System
		3.4 Environmental Monitoring
	4 Strategies and Challenges for Enhancing Security Capabilities for SDG Toward Digitalization
	5 Discussion
	6 Conclusion
	References
Advancing Democratic Governance with AIoT-Enabled E-Voting: A Case Study of Covenant University\'s Departmental Associations in Alignment with SDG 16
	1 Introduction
	2 Related Works
	3 System Analysis and Design
		3.1 Feasibility Study
		3.2 Design of the System
		3.3 Design Performance Evaluation
		3.4 Design Tools
	4 Result Analysis
		4.1 System Implementation
	5 Discussion
		5.1 Comparison
	6 Conclusion
	References
Cyber Resilience for SDG Towards the Digitization: An Imperial Study
	1 Introduction
	2 Background of the Chapter
		2.1 Cyber Security
		2.2 Cyber Resilient
		2.3 Digitization
		2.4 Sustainable Development Goals
	3 Cyber Resilient of Sustainable Development Growth in Digitization Contexts
	4 Strategies in Cyber Resilience Toward Sustainable Growth in Digitalization
	5 Different Technologies in Cyber Resilience Toward Sustainable Development in Digitalization
		5.1 Review of Digital Economy Transformation
		5.2 Review of Blockchain Technology
		5.3 Review of Artificial Intelligence
		5.4 Review of Cloud Computing
		5.5 Review of Internet of Things
	6 Usage of Artificial Intelligence of Things (AIoT) Towards Sustainable Growth in Digitization
	7 Discussion and Open Challenges
	8 Conclusion
	References