Object scale selection of hierarchical image segmentation with deep seeds. - Zaid Al-Huda; Bo Peng 006; Yan Yang 001; Riyadh Nazar Ali Algburi (IET Image Process., 2021)

Optimal Scale of Hierarchical Image Segmentation with Scribbles Guidance for Weakly Supervised Semantic Segmentation. - Zaid Al-Huda; Donghai Zhai; Yan Yang 001; Riyadh Nazar Ali Algburi (Int. J. Pattern Recognit. Artif. Intell., 2021)

Weakly supervised semantic segmentation by iteratively refining optimal segmentation with deep cues guidance. - Zaid Al-Huda; Bo Peng 006; Yan Yang 001; Riyadh Nazar Ali Algburi; Muqeet Ahmad; Faisal Khurshid 001; Khaled Moghalles (Neural Comput. Appl., 2021)

A new synergy of singular spectrum analysis with a conscious algorithm to detect faults in industrial robotics. - Riyadh Nazar Ali Algburi; Hongli Gao; Zaid Al-Huda (Neural Comput. Appl., 2022)

Improvement of an Industrial Robotic Flaw Detection System. - Riyadh Nazar Ali Algburi; Hongli Gao; Zaid Al-Huda (IEEE Trans Autom. Sci. Eng., 2022)

MDAU-Net: A Multi-Scale U-Net with Dual Attention Module for Pavement Crack Segmentation. - Zaid Al-Huda; Bo Peng 006; Mugahed A. Al-antari; Riyadh Nazar Ali Algburi; Radhwan A. A. Saleh; Khaled Moghalles (ISKE, 2023)

A hybrid deep learning pavement crack semantic segmentation. - Zaid Al-Huda; Bo Peng 006; Riyadh Nazar Ali Algburi; Mugahed A. Al-antari; Rabea Al-Jarazi; Donghai Zhai (Eng. Appl. Artif. Intell., 2023)

Weakly supervised pavement crack semantic segmentation based on multi-scale object localization and incremental annotation refinement. - Zaid Al-Huda; Bo Peng 006; Riyadh Nazar Ali Algburi; Saghir Alfasly; Tianrui Li 001 (Appl. Intell., 2023)