Artificial Intelligence of Things (AIoT)

Artificial Intelligence of Things (AIoT)

by Fadi Al-Turjman, Fahriye Altinay, Zehra Altinay Gazi
Released September 2024
Publisher(s): Morgan Kaufmann
ISBN: 9780443264832

Read it now on the O’Reilly learning platform with a 10-day free trial.

O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial

Book description

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.
  • 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

Table of contents

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

Product information

  • Title: Artificial Intelligence of Things (AIoT)
  • Author(s): Fadi Al-Turjman, Fahriye Altinay, Zehra Altinay Gazi
  • Release date: September 2024
  • Publisher(s): Morgan Kaufmann
  • ISBN: 9780443264832