crossrefResults in EngineeringCited by 0

Fully automated pavement crack quantification and PCI estimation via a digital twin-ready vision-based deep learning pipeline

Mohammad Amin Talaghat, Amir Golroo, Vahid Shahhosseini, Mehdi Rasti

Related papers

crossrefResults in Engineering

Self-supervised deep learning digital twin modeling for joint load-response estimation in structural dynamics

Jun Zhang, Biqi Chen, Qun Yang, Huabo Zhang, Tong Zhang, Ying Wang

Also available via: Results in Engineering

semantic_scholarResults in Engineering

Edge-enabled electrical meter reading via deep learning-based object detection paradigm

Hafeez Anwar, Farman Ullah, Muhammad Shahid, Ikram Syed, L. Ali, Irfan Hussain

View free PDFSource page

crossrefResults in Engineering2026-06-01Cited by 1

Using deep generative-based machine and ensemble learning framework for predicting ultimate bending capacity of circular steel tubes

Mahmood Sami Salah, Mohamed El Amine Ben Seghier, Sushant Gautam, Osama Ahmed Mohamed

semantic_scholarResults in Engineering

Porosity segmentation in X-ray computed tomography scans of metal additively manufactured specimens with deep learning

Hongtao Sun, Shubiao Guo, Jilai Wang

View free PDFSource page

semantic_scholarResults in Engineering

A deep learning-driven zero-watermarking framework using EfficientNet-B0 and 2D chaotic encryption for UAV applications

Vinsha Shaik, Priyanka Singh, Khushi Dixit, Vishakha Bhandari, R. Kumar

View free PDFSource page

crossrefResults in EngineeringCited by 1

Machine learning prediction and interpretability analysis of the association between digital transformation and enterprise performance: Based on the XGBoost-SHAP integrated framework