Automated optimal parking slot prediction using deep learning and digital twin technology aided parking space management for material science application
As vehicles on the roadside increase exponentially, drivers find it complicated to recognize parking areas. This makes it essential to identify an optimized model for resolving the vehicle-parking issues. In other words, a practical model must be implemented to identify outdoor parking slot status u...
| Published in: | Alexandria Engineering Journal |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2025
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000519794&doi=10.1016%2fj.aej.2025.03.019&partnerID=40&md5=a83d4e9d7e2cdb0df84ff2a367987a2c |