Smart Cities, Green Technologies, and Intelligent Transport Systems 12th International Conference, SMARTGREENS 2023, and 9th International Conference, VEHITS 2023, Prague, Czech Republic, April 26-28, 2023, Revised Selected Papers /
This book includes extended and revised selected papers from the 12th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2023, and 9th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2023, held in Prague, Czech Republic, in April 2023...
Gorde:
| Erakunde egilea: | |
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| Beste egile batzuk: | , , , , , |
| Formatua: | Baliabide elektronikoa eBook |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edizioa: | 1st ed. 2025. |
| Saila: | Communications in Computer and Information Science,
1989 |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/978-3-031-70966-1 |
| Etiketak: |
Etiketa erantsi
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Aurkibidea:
- .-Smart Cities and Green ICT Systems.
- Calculation of Modes and Electromagnetic Influences of a Long-Distance Ultra-High Voltage Power Transmission to Pipeline Based on Digital Models.
- Decentralised Vehicle Allocation for Community-Based Ride-Sharing Services.
- Vehicle Technology and Intelligent Transport Systems.
- Towards Better Modeling of Bicycle Lateral Motion: Model Development, Naturalistic Data Acquisition, and Model Validation.
- Small Vehicle Damage Detection with Acceleration Spectrograms: An Autoencoder-Based Anomaly Detection Approach.
- Modeling the Traffic Scene in Intelligent Transport Systems for Cooperative Connected Automated Mobility.
- A Technique for Authentic Fatigue Driving Detection Using Nighttime Infrared Images.
- Identifying Challenges in Remote Driving .
- Decision Tree Based Incident Detection for Distributed Progressive Signal System in an Organic Traffic Control System.
- Monitoring Traffic Congestion Using Trust-Based Smart Road Signs.
- Infrastructure-assisted Collective Perception Service With Emphasis on Vulnerable Road User Perception.