Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures. - Shahin Ghazvineh; Gholamreza Nouri; Seyed Hossein Hosseini Lavassani; Vahidreza Gharehbaghi; Andy Nguyen (CoRR, 2021)

Influence of image noise on crack detection performance of deep convolutional neural networks. - Riccardo Chianese; Andy Nguyen; Vahidreza Gharehbaghi; Thiru Aravinthan; Mohammad N. Noori (CoRR, 2021)

A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network. - Vahidreza Gharehbaghi; Hashem Kalbkhani; Ehsan Noroozinejad Farsangi; Tony T. Y. Yang; Andy Nguyen; Seyedali Mirjalili; Christian Málaga-Chuquitaype (CoRR, 2021)

A Novel Computer-Vision Approach Assisted by 2D-Wavelet Transform and Locality Sensitive Discriminant Analysis for Concrete Crack Detection. - Vahidreza Gharehbaghi; Ehsan Noroozinejad Farsangi; Tony T. Y. Yang; Mohammad N. Noori; Denise-Penelope N. Kontoni (Sensors, 2022)

A data-driven approach for linear and nonlinear damage detection using variational mode decomposition and GARCH model. - Vahid Reza Gharehbaghi; Hashem Kalbkhani; Ehsan Noroozinejad Farsangi; Tony T. Y. Yang; Seyedali Mirjalili (Eng. Comput., 2023)