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Cited article:

A Real-Time Machine Learning-Based Road Safety Monitoring and Assessment System

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International Journal of Intelligent Transportation Systems Research 22 (2) 259 (2024)
https://doi.org/10.1007/s13177-024-00395-3

Road pavement health monitoring system using smartphone sensing with a two-stage machine learning model

Kai Zhao, Shuoshuo Xu, James Loney, Andrea Visentin and Zili Li
Automation in Construction 167 105664 (2024)
https://doi.org/10.1016/j.autcon.2024.105664

Classification of different size of potholes based on surface area using convolutional neural network

Chauhdary Fazeel Ahmad, Ammar T. Al-Sayegh, Abdullah Cheema, Waqas Qayyum, Rana Ehtisham, Saba Saghir and Afaq Ahmad
Discover Applied Sciences 6 (9) (2024)
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Eyeway: An Artificial Intelligence Of Things Pothole Detection System With Map Visualization

Leonhel V. Fortin, Arjean Rose V. Delos Santos, Pul Joven B. Cagud, Paul Rodolf Castor and Orven E. Llantos
Procedia Computer Science 251 216 (2024)
https://doi.org/10.1016/j.procs.2024.11.103

Pothole and Plain Road Classification Using Adaptive Mutation Dipper Throated Optimization and Transfer Learning for Self Driving Cars

Amel Ali Alhussan, Doaa Sami Khafaga, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Marwa Metwally Eid and Abdelaziz A. Abdelhamid
IEEE Access 10 84188 (2022)
https://doi.org/10.1109/ACCESS.2022.3196660

Visualizing Street Pavement Anomalies through Fog Computing V2I Networks and Machine Learning

Rogelio Bustamante-Bello, Alec García-Barba, Luis A. Arce-Saenz, Luis A. Curiel-Ramirez, Javier Izquierdo-Reyes and Ricardo A. Ramirez-Mendoza
Sensors 22 (2) 456 (2022)
https://doi.org/10.3390/s22020456