Crack Detection and Localization based on Spatio-Temporal Data using Residual Networks. - Fathalla Moreh; Hao Lyu; Christian Beth; Steffen Strohm; Zarghaam Haider Rizvi; Frank Wuttke; Matthias Renz (SSDBM, 2022)

Wave-Based Neural Network with Attention Mechanism for Damage Localization in Materials. - Fatahlla Moreh; Yusuf Hasan; Zarghaam Haider Rizvi; Frank Wuttke; Sven Tomforde (ICMLA, 2024)

MCMN Deep Learning Model for Precise Microcrack Detection in Various Materials. - Fatahlla Moreh; Yusuf Hasan; Zarghaam Haider Rizvi; Frank Wuttke; Sven Tomforde (ICMLA, 2024)

MicroCrackAttentionNeXt: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks through Feature Visualization. - Fatahlla Moreh; Yusuf Hasan; Bilal Zahid Hussain; Mohammad Ammar; Sven Tomforde (CoRR, 2024)

Deep Learning for Micro-Scale Crack Detection on Imbalanced Datasets Using Key Point Localization. - Fatahlla Moreh; Yusuf Hasan; Bilal Zahid Hussain; Mohammad Ammar; Sven Tomforde (CoRR, 2024)