Artificial Intelligence of Things (AIoT) Current and Future Trends

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 conne...

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Detalles Bibliográficos
Otros Autores:	Al-Turjman, Fadi, editor (editor), Altinay, Fahriye, editor, Gazi, Zehra Altinay, editor
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Cambridge, MA : Elsevier Inc [2025]
Edición:	First edition
Colección:	Advanced studies in complex systems.
Materias:	Artificial intelligence. Internet of things. Machine learning. Deep learning (Machine learning) Technological innovations > Management.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849139406719

Tabla de 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.
3.5.2 Addiction challenge
3.5.3 Privacy and security challenge
3.5.4 Ethics and morality challenge
3.6 Conclusion
References
4 Web-based brain tumor classification app using convolutional neural network
4.1 Introduction
4.2 Methodology
4.2.1 Data collection
4.2.2 Data augmentation
4.2.3 Splitting
4.2.4 Training settings
4.2.4.1 CNN network architecture
4.2.5 Performance
4.2.6 Hardware and software requirements
4.3 Results
4.3.1 Confusion matrix
4.3.2 Performance metric of model
4.4 Conclusion
Acknowledgments
References
5 Traffic management system using different Internet of Things devices: literature review
5.1 Introduction
5.1.1 Selecting a template
5.1.2 Types of implementation methods
5.1.2.1 Radio frequency identification
5.1.2.1.1 RFID controller
5.1.2.1.2 RFID tag
5.1.2.1.3 Applications for RFID sensor
5.1.2.2 Analysis of video data
5.1.2.2.1 Problems with video analysis include
5.1.2.3 Wireless sensor network
5.1.2.4 The IR sensor
5.1.2.4.1 Sensor types
5.2 Method of evaluation
5.2.1 IoT device communication and addressing
5.2.2 IoT device security (physical and virtual)
5.3 Results and discussion
5.4 Conclusion
References
6 Wireless sensor networks DV-Hop positioning based on artificial intelligence in the IoT era
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
7.1 Introduction
7.1.1 Objective of the research
7.1.2 Problem of the research
7.2 Work related
7.3 Methodology
7.3.1 Collection of data
7.3.2 Preprocessing and cleaning
7.3.2.1Data split ratio and augmentation
7.4 Results
7.4.1 Matrix of confusion and comparative analysis
7.5 Conclusion.
References
8 Cybersecurity using artificial intelligence
8.1 Introduction
8.1.1 Background
8.2 Problems with strategy
8.2.1 Technical challenges
8.2.2 Some nontechnical challenges
8.2.3 Some nontechnical challenges
8.2.4 Needs to make a good trade-off
8.3 Assessment
8.4 Conclusions
References
Further reading
9 Transformers in wildfire detection
9.1 Introduction
9.1.1 Related works
9.1.1.1 Transformers applications
9.1.1.1.1 Self-attention for object detection
9.1.1.1.2 Self-attention for visual representations
9.1.1.1.3 Pretraining and self-training
9.1.1.2 Machine learning classification
9.2 Methodology
9.2.1 Study design
9.2.2 The model
9.2.3 Feature extraction
9.2.4 Feature selection
9.2.5 Data acquisition
9.2.5.1 Encoder-decoder
9.2.6 Method
9.2.7 Detection transformer architecture
9.3 Results
9.4 Conclusion
References
10 Distributed mobile cloud computing services and the internet of things
10.1 Introduction
10.1.1 Motivation
10.1.2 Objectives
10.1.3 Scope and organization
10.2 Amount of previously published work
10.2.1 Internet of Things research
10.2.2 Distributed mobile cloud computing research
10.2.3 Overall assessment
10.3 Internet of things and distributed mobile cloud computing services
10.3.1 Experimental setup
10.3.1.1 Hardware components
10.3.1.2 Software components
10.3.1.3 Network infrastructure
10.4 Distributed mobile cloud computing and the internet of things
10.4.1 Literature review
10.4.2 Experimental design
10.4.3 Implementation
10.4.4 Data collection and analysis
10.4.5 Discussion
10.5 Results and discussion follow
10.5.1 Performance evaluation metrics
10.5.1.1 Latency
10.5.1.2 Energy consumption
10.5.1.3 Computational speed
10.5.1.4 Data transfer rate.
10.5.2 Experimental results
10.5.2.1 Latency evaluation
10.5.2.2 Energy consumption analysis
10.5.2.3 Computational speed assessment
10.5.2.4 Data transfer rate examination
10.5.3 Discussion of results
10.5.3.1 Enhanced connectivity
10.5.3.2 Energy efficiency
10.5.3.3 Scalability and flexibility
10.5.3.4 Trade-offs and challenges
10.5.4 Comparative analysis
10.5.5 Limitations and future directions
10.6 Conclusion
Reference
11 Internet of Things and mobile cloud computing service models
11.1 Introduction
11.2 The importance of the Internet of Things and mobile cloud computing
11.2.1 Mobile cloud computing
11.2.2 Internet of Things
11.3 How do service models work?
11.3.1 There are several commonly recognized service models in cloud computing
11.3.1.1 Infrastructure as a service
11.3.1.2 Platform as a service
11.3.1.3 Software as a service
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...
11.5.1 Infrastructure as a service
11.5.2 Platform as a service
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
11.8.1 Benefits: scalability, flexibility, and cost-effectiveness
11.8.2 Platform as a service
11.9 The following are some crucial features and advantages of platform as a service
11.9.1 Use cases for infrastructure as a service and platform as a service in mobile cloud computing and Internet of Things
11.9.2 Infrastructure as a service use cases.
11.9.3 Platform as a service use cases
11.10 Considerations for choosing service models
11.11 Conclusion
Reference
II. AIoT in societal research and development
12 Beyond smart networking
12.1 Introduction
12.2 The purpose of networking and beyond
12.3 Benefits of networking and beyond
12.3.1 Access to new opportunities
12.3.2 Personal and professional growth
12.3.3 Better communication and social skills
12.3.4 More visibility and credibility
12.3.5 Positive effects on society
12.4 Different kinds of networking
12.4.1 Networking in person
12.4.2 Online networking
12.4.3 Professional networking organizations
12.4.4 Informal networking
12.4.5 Networking through social media
12.5 The 3P's of networking
12.5.1 Presence
12.5.2 Professionalism
12.5.3 Be persistent
12.6 Four important steps to making networking work well
12.6.1 Figure out what you want
12.6.2 Build your network
12.6.3 Get involved and talk to people
12.6.4 Keep and grow your network
12.7 Several things that make up a network
12.7.1 Interdependence
12.7.2 Connectivity
12.7.3 Diversity
12.7.4 Trust
12.7.5 Influence
12.7.6 Emergence
12.7.7 Resilience
12.8 Some tips for building strong networking skills
12.8.1 Write down your goals and objectives
12.8.2 Build your network
12.8.3 Get involved and talk to people
12.8.4 Work on your communication skills
12.8.5 Build your personal brand
12.8.6 Stay up to date
12.9 How to develop your networking and beyond?
12.9.1 Confidence
12.9.2 Openness
12.9.3 Empathy
12.9.4 Being proactive is important for networking
12.9.5 Gratitude
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.

Artificial Intelligence of Things (AIoT) Current and Future Trends

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