Applications of Computational Learning and IoT in Smart Road Transportation System
This book discusses machine learning and AI in real-time image processing for road transportation and traffic management. There is a growing need for affordable solutions that make use of cutting-edge technology like artificial intelligence (AI), machine learning (ML), and the Internet of Things (Io...
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| Yhteisötekijä: | |
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| Muut tekijät: | , , , , , |
| Aineistotyyppi: | Elektroninen E-kirja |
| Kieli: | englanti |
| Julkaistu: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Painos: | 1st ed. 2025. |
| Sarja: | Springer Tracts on Transportation and Traffic,
22 |
| Aiheet: | |
| Linkit: | https://doi.org/10.1007/978-3-031-87627-1 |
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Sisällysluettelo:
- Future Intelligent Vehicles: Research Roadmaps, Open Issues, and Key Challenges
- Speed Breaker and Vehicle Accident Detection with Alert Sensors
- Integrating Machine Learning and IoT: Pioneering Solutions for Sustainable Smart Cities
- Enhancing Emergency Response and Traffic Management with a Smart Ambulance Detection System Using Image Processing
- IoT-Driven Machine Learning Solutions for Smarter Urban Living
- Revolutionizing Road Transportation: The Role of Artificial Intelligence in Smart and Efficient Systems
- Recent Advancements and Future Perspectives of Dynamic Fuzzy Controllers for Smart Traffic Signaling
- Road Transport in the New Era Using Artificial Intelligence
- A Survey on Driver’s Unusual Behaviour Detection
- Optimization Strategies for Next-Generation AI, ML, and IoT Applications
- Smart Traffic Systems: Revolutionizing Road Transport with AI and Image Processing
- Harnessing IoT and Machine Learning for Sustainable, Smart Urban Environments
- Smart Traffic Management: Automated Rerouting and Congestion Detection with Sensor Technology.