ArticleSensors (Basel, Switzerland)2018
Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review.Environmental science and ecotechnology · 2024Review
- Evolutionary game model based on cumulative prospect theory for information management mechanism in SIoT.Heliyon · 2023Article
- Exploration of the intelligent-auxiliary design of architectural space using artificial intelligence model.PloS one · 2023Article
- Addressing Biodisaster X Threats With Artificial Intelligence and 6G Technologies: Literature Review and Critical Insights.Journal of medical Internet research · 2021Review
- An Hybrid Approach for Urban Traffic Prediction and Control in Smart Cities.Sensors (Basel, Switzerland) · 2020Article
- How does a (Smart) Age-Friendly Ecosystem Look in a Post-Pandemic Society?International journal of environmental research and public health · 2020Article
- Advanced Monitoring Systems Based on Battery-Less Asset Tracking Modules Energized through RF Wireless Power Transfer.Sensors (Basel, Switzerland) · 2020Article
- Creating Personalized Recommendations in a Smart Community by Performing User Trajectory Analysis through Social Internet of Things Deployment.Sensors (Basel, Switzerland) · 2020Article
- Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives.Neurospine · 2019Article
- Strategies and Techniques for Powering Wireless Sensor Nodes through Energy Harvesting and Wireless Power Transfer.Sensors (Basel, Switzerland) · 2019Article
- AI-Based Sensor Information Fusion for Supporting Deep Supervised Learning.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Smart city (SC) technologies can provide appropriate services according to citizens’ demands. One of the key enablers in a SC is the Internet of Things (IoT) technology, which enables a massive number of devices to connect with each other. However, these devices usually come from different manufacturers with different product standards, which confront interactive control problems. Moreover, these devices will produce large amounts of data, and efficiently analyzing these data for intelligent services. In this paper, we propose a novel artificial intelligence-based semantic IoT (AI-SIoT) hybrid service architecture to integrate heterogeneous IoT devices to support intelligent services. In particular, the proposed architecture is empowered by semantic and AI technologies, which enable flexible connections among heterogeneous devices. The AI technology can support very implement efficient data analysis and make accurate decisions on service provisions in various kinds. Furthermore, we also present several practical use cases of the proposed AI-SIoT architecture and the opportunities and challenges to implement the proposed AI-SIoT for future SCs are also discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.