Artificial Intelligence of Things (AIoT)

Current and Future Trends

1st Edition - September 11, 2024
Editors: Fadi Al-Turjman, Fahriye Altinay, Zehra Altinay Gazi
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 2 6 4 8 2 - 5
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 2 6 4 8 3 - 2

Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share ideas on how to implem… Read more

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Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share ideas on how to implement technical advances, create application areas for intelligent systems, and how to develop new services and smart devices connected to the Internet. Section One covers AIoT in Everything, providing a wide range of applications for AIoT methods and technologies. Section Two gives readers comprehensive guidance on AIoT in Societal Research and Development, with practical case studies of how AIoT is impacting cultures around the world. Section Three covers the impact of AIoT in educational settings.

The book also covers new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power. These new areas come with various requirements in terms of reliability, quality of service, and energy efficiency.

Cover image
Title page
Table of Contents
Copyright
Dedication
List of contributors
About the editors
Section I: AIoT in everything
1. Current developments and trends in video surveillance
Abstract
1.1 Introduction
1.2 Related studies
1.3 Result and discussion
1.4 Conclusion and recommendation
References
2. Application of artificial intelligence in mobile networks: a survey
Abstract
2.1 Introduction
2.2 Trends of mobile networks
2.3 Mobile network issues
2.4 Motivations for AI-enabled mobile network
2.5 Possibilities of using AI technology to operate mobile networks
2.6 Solutions to challenges of AI mobile networks
2.7 Expected development/deployment
2.8 Conclusion
Acknowledgment
References
3. Metaverse technology in education: an enhancement for the future
Abstract
3.1 Introduction
3.2 Application of metaverse in education
3.3 How does metaverse change education?
3.4 Potential application usage of the metaverse in the education
3.5 Challenges of metaverse in education
3.6 Conclusion
References
4. Web-based brain tumor classification app using convolutional neural network
Abstract
4.1 Introduction
4.2 Methodology
4.3 Results
4.4 Conclusion
Acknowledgments
References
5. Traffic management system using different Internet of Things devices: literature review
Abstract
5.1 Introduction
5.2 Method of evaluation
5.3 Results and discussion
5.4 Conclusion
References
6. Wireless sensor networks DV-Hop positioning based on artificial intelligence in the IoT era
Abstract
6.1 Introduction
6.2 Related work
6.3 Methodology
6.4 Results
6.5 Conclusion
References
7. Cassava leave disease image classification based on deep convolutional neural network
Abstract
7.1 Introduction
7.2 Work related
7.3 Methodology
7.4 Results
7.5 Conclusion
References
8. Cybersecurity using artificial intelligence
Abstract
8.1 Introduction
8.2 Problems with strategy
8.3 Assessment
8.4 Conclusions
References
Further reading
9. Transformers in wildfire detection
Abstract
9.1 Introduction
9.2 Methodology
9.3 Results
9.4 Conclusion
References
10. Distributed mobile cloud computing services and the internet of things
Abstract
10.1 Introduction
10.2 Amount of previously published work
10.3 Internet of things and distributed mobile cloud computing services
10.4 Distributed mobile cloud computing and the internet of things
10.5 Results and discussion follow
10.6 Conclusion
Reference
11. Internet of Things and mobile cloud computing service models
Abstract
11.1 Introduction
11.2 The importance of the Internet of Things and mobile cloud computing
11.3 How do service models work?
11.4 Service models give consumers and service providers a level of abstraction and accountability
11.5 Overview of the infrastructure as a service and platform as a service common service models for mobile cloud computing and Internet of Things
11.6 Explanation of infrastructure as a service in the context of mobile cloud computing and Internet of Things
11.7 Virtualized computing resources are provided by cloud providers
11.8 Examples: virtual machines, storage, and networking infrastructure
11.9 The following are some crucial features and advantages of platform as a service
11.10 Considerations for choosing service models
11.11 Conclusion
Reference
Section II: AIoT in societal research and development
12. Beyond smart networking
Abstract
12.1 Introduction
12.2 The purpose of networking and beyond
12.3 Benefits of networking and beyond
12.4 Different kinds of networking
12.5 The 3P’s of networking
12.6 Four important steps to making networking work well
12.7 Several things that make up a network
12.8 Some tips for building strong networking skills
12.9 How to develop your networking and beyond?
12.10 What is a synonym for networking?
12.11 Extent of past work of networking and beyond
12.12 Materials and method of networking and beyond
12.13 The results of networking and what comes next
12.14 Conclusion
References
13. The pros and cons of community-based tourism
Abstract
13.1 Introduction
13.2 Goals of community-based tourism
13.3 The characteristics of community-based tourism
13.4 Pros of community-based tourism
13.5 Cons of community-based tourism
13.6 Conclusion
References
14. Data compression approaches in WSN and IoT applications: a comprehensive survey
Abstract
14.1 Introduction
14.2 Overview of wireless sensor networks
14.3 Key metrics for data compression assessment
14.4 Comparative analysis of data compression techniques
14.5 Challenges and areas of future research
14.6 Conclusion
References
15. Utilizing Mamdani fuzzy inference system for automated hepatitis B and D diagnosis
Abstract
15.1 Introduction
15.2 Methodology
15.3 Result
15.4 Conclusion
References
Section III: AIoT in education
16. Technologies used for visually impaired individuals in the museum environment: a systematic review
Abstract
16.1 Introduction
16.2 The purpose of the study
16.3 Methodology
16.4 Results
16.5 Discussion and conclusions
16.6 Limitations
References
17. Integration of digital education into environmental education: raising environmental awareness through the media
Abstract
17.1 Introduction
17.2 Methodology
17.3 Findings
17.4 Discussion
17.5 Suggestions
17.6 Conclusion
References
18. The implications of technology integration in the classroom
Abstract
18.1 Introduction
18.2 Problem statement
18.3 The purpose of the study
18.4 Importance of the study
18.5 Methodology
18.6 Data collection tools
18.7 Data collection
18.8 Data analysis
18.9 Researcher role
18.10 Findings
18.11 Conclusion and discussion
18.12 Recommendation
References
19. How to improve the academic performance of Okaikrom Basic School with technology
Abstract
19.1 Introduction
19.2 Methodology
19.3 Summary of the causes of the problem
19.4 Presentation and analysis of data
19.5 Findings
19.6 Discussion, conclusion, and summary
References
20. Detection of plant leaf diseases using sequential convolutional neural network
Abstract
20.1 Introduction
20.2 Methodology and the system procedure
20.3 Results and analysis
20.4 Conclusion
References
21. Deepfakes development using long short-term memory-based deep neural networks
Abstract
21.1 Introduction
21.2 Neural networks process
21.3 Methodology and algorithms
21.4 Training and discussion
21.5 Conclusion
References
22. Deep learning−based histopathological image analysis for lung cancer diagnosis
Abstract
22.1 Introduction
22.2 Methodology
22.3 Experimental design
22.4 Results and discussions
22.5 Comparison of the model performances
22.6 Conclusion
References
23. Colon adenocarcinoma diagnosis on histopathological images using deep learning
Abstract
23.1 Introduction
23.2 Methodology
23.3 Experimental design
23.4 Results and discussions
23.5 Comparison of the model performances
23.6 Conclusion
References
24. Smart quality control of Industry 4.0 by artificial intelligence-powered robot vision, a review
Abstract
24.1 Introduction
24.2 Automated inspection
24.3 Object recognition
24.4 Smart defect detection system
24.5 Adaptive inspection
24.6 Adaptive learning
24.7 Customization and flexibility
24.8 Real-time monitoring
24.9 Reduced human error
24.10 Reduced downtime
24.11 Predictive maintenance
24.12 Cost savings
24.13 Integration with Internet of Things
24.14 Conclusion
24.15 Future research work directions
References
Index

Fadi Al-Turjman

Dr. Fadi Al-Turjman is the Associate Dean for Research Center for AI and IoT, AI and Robotics Institute, Near East University, Nicosia, Mersin 10, Turkey. He received his Ph.D. in Computer Science from Queen’s University, Canada. Dr. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks. His publication history spans over 400 SCI/E publications, and more than 11,000 citations, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks’ deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. Dr. Al-Turjman received several recognitions and best papers’ awards at top international conferences, including Best Research Paper Award from Elsevier Computer Communications Journal. Dr. Al-Turjman has led a number of international symposia and workshops for flagship communication society conferences. Currently, he serves as book series editor and lead guest/associate editor for several top tier journals, including IEEE Communications Surveys and Tutorials and Elsevier Sustainable Cities and Society, in addition to organizing international conferences and symposiums on leading-edge research topics in AI and IoT.

Affiliations and expertise

Associate Dean and Founding Director, Research Center for AI and IoT, AI and Robotics Institute, Near East University, Nicosia, Mersin 10, Turkey

Fahriye Altinay

Dr. Fahriye Altınay is a full-time faculty member at Near East University, Prof. Dr. Fahriye Altinay works scientifically and administratively on subjects such as the higher education council, bi-communal cultures, quality studies, strategic planning, barrier-free informatics, and smart society. Dr. Fahriye Altınay is the Deputy Director of the Graduate Education Institute, the Vice President of the Center of Excellence Social Research and Development Center, and the head of the Department of Entrepreneurship and Innovation in Education. She is also an editor and referee for international journals and books. She is currently the editor of a book on online learning pedagogy and management and experiences in distance education. Current scientific studies; development of critical friends and skills in the online environment with international perspectives and practices, participation in learning in the online environment, the readiness of higher education institutions for online learning, education of people with disabilities and distance education practices during the pandemic, open education resources, MOOCs, barrier-free tourism and education. The current projects he is working on are a national database on disabled people, inclusive education practices, entrepreneurship, and community analysis during the pandemic period.

Affiliations and expertise

Dr.Fahriye Altınay, Deputy Director, Graduate Education Institute, the Vice President of the Center of Excellence Social Research and Development Center, head of the Department of Entrepreneurship and Innovation in Education, Cyprus

Zehra Altinay Gazi

Dr. Zehra Altınay is a full-time faculty member at Near East University as the Head of the Educational Sciences Department. Previously, she carried out accreditation studies while she was the head of the Department of Computer Education and Instructional Technologies. She is a member of the Graduate Education Institute Board of Directors. Dr. Zehra Altinay is the chairman of the ethics committee in the field of educational sciences within the scope of the Graduate Education Institute. She is also the Head of the Center for Social Research and Development, affiliated with the Center of Excellence. She also works on disability and rights as the chair of the University's Disability Rights Monitoring Committee. She is an editor and referee for international journals and books, especially on disability and inclusive education. Within the scope of the Social Research and Development Center's activities, it carries out collaborative scientific studies on children with disabilities, women, open education resources, accessible tourism, and education without barriers. During the pandemic period, many institutions and universities organize activities in these fields and continue to publish many scientific publications on institutional cooperation, new technologies, social benefits, and current issues.

Affiliations and expertise

Head of the Educational Sciences Department, Cyprus

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Artificial Intelligence of Things (AIoT)

Current and Future Trends

Purchase options

Institutional subscription on ScienceDirect

Fadi Al-Turjman

Fahriye Altinay

Zehra Altinay Gazi