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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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Request a sales quoteArtificial 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.
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.
- Provides readers with up-to-date and comprehensive information on the latest advancements in AIoT, including wireless technologies, pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power
- Explores the possibilities of new domains, services, and business models that can be created using AIoT
- Discusses the potential impact of AIoT on society, including its potential to improve efficiency, reduce costs, and enhance quality of life
Computer Science researchers, artificial intelligence researchers, and researchers and practitioners working in the fields of data science, machine learning, and optimization. The primary audience also includes data analysts and software engineers working with the Internet of Things (IoT)
- 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
- No. of pages: 350
- Language: English
- Edition: 1
- Published: September 11, 2024
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9780443264825
- eBook ISBN: 9780443264832
FA
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, TurkeyFA
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, CyprusZG
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