Artificial Intelligence of Things (AIoT) Current and Future Trends Fadi Al-Turjman, Fahriye Altinay, and Zehra Altinay Gazi, editors.

Colaborador(es): Idioma: Español Series Advanced Studies in Complex Systems SeriesDetalles de publicación: Cambridge, Massachusetts Elsevier Inc. 2025Edición: 1a. EdDescripción: xxii, 304 PaginasISBN:
  • 9780443264825
Tema(s):
Contenidos:
Front Cover -- Artificial Intelligence of Things (AIoT) -- Copyright Page -- Dedication -- Contents -- List of contributors -- About the editors -- I. AIoT in everything -- 1 Current developments and trends in video surveillance -- 1.1 Introduction -- 1.2 Related studies -- 1.2.1 The summary of the findings -- 1.2.1.1 Improvements in the video surveillance system to our well-being -- 1.2.1.2 The technical challenges of video surveillance and applications -- 1.2.1.3 The improvement of neural networks in video surveillance systems -- 1.3 Result and discussion -- 1.4 Conclusion and recommendation -- References -- 2 Application of artificial intelligence in mobile networks: a survey -- 2.1 Introduction -- 2.2 Trends of mobile networks -- 2.3 Mobile network issues -- 2.3.1 Planning process issues -- 2.3.2 Maintenance issues -- 2.4 Motivations for AI-enabled mobile network -- 2.5 Possibilities of using AI technology to operate mobile networks -- 2.5.1 The PHY and MAC layers using AI -- 2.5.1.1 Prediction and channel estimation -- 2.5.1.2 Processing of reception -- 2.5.1.3 Decoding a channel -- 2.5.2 Applying AI to planning and maintenance process -- 2.5.2.1 Planning process -- 2.5.2.2 Maintenance process -- 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 -- 3.1 Introduction -- 3.2 Application of metaverse in education -- 3.2.1 Augmented reality usage in education -- 3.2.2 Virtual reality usage in education -- 3.2.3 Lifelogging usage in education -- 3.2.4 Mirrow world usage 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 -- 3.5.1 Technology challenges.
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Front Cover -- Artificial Intelligence of Things (AIoT) -- Copyright Page -- Dedication -- Contents -- List of contributors -- About the editors -- I. AIoT in everything -- 1 Current developments and trends in video surveillance -- 1.1 Introduction -- 1.2 Related studies -- 1.2.1 The summary of the findings -- 1.2.1.1 Improvements in the video surveillance system to our well-being -- 1.2.1.2 The technical challenges of video surveillance and applications -- 1.2.1.3 The improvement of neural networks in video surveillance systems -- 1.3 Result and discussion -- 1.4 Conclusion and recommendation -- References -- 2 Application of artificial intelligence in mobile networks: a survey -- 2.1 Introduction -- 2.2 Trends of mobile networks -- 2.3 Mobile network issues -- 2.3.1 Planning process issues -- 2.3.2 Maintenance issues -- 2.4 Motivations for AI-enabled mobile network -- 2.5 Possibilities of using AI technology to operate mobile networks -- 2.5.1 The PHY and MAC layers using AI -- 2.5.1.1 Prediction and channel estimation -- 2.5.1.2 Processing of reception -- 2.5.1.3 Decoding a channel -- 2.5.2 Applying AI to planning and maintenance process -- 2.5.2.1 Planning process -- 2.5.2.2 Maintenance process -- 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 -- 3.1 Introduction -- 3.2 Application of metaverse in education -- 3.2.1 Augmented reality usage in education -- 3.2.2 Virtual reality usage in education -- 3.2.3 Lifelogging usage in education -- 3.2.4 Mirrow world usage 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 -- 3.5.1 Technology challenges.

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