Items where Author is "Ali, Raza"

Zhou, Yang and Ali, Raza and Mokhtar, Norrima and Harun, Sulaiman Wadi and Iwahashi, Masahiro (2024) MixSegNet: A Novel Crack Segmentation Network Combining CNN and Transformer. IEEE Access, 12. pp. 111535-111545. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2024.3438112.

Shoaib, Muhammad Ali and Chuah, Joon Huang and Ali, Raza and Dhanalakshmi, Samiappan and Hum, Yan Chai and Khalil, Azira and Lai, Khin Wee (2023) Fully automatic left ventricle segmentation using bilateral lightweight deep neural network. Life, 13 (1). ISSN 20751729, DOI https://doi.org/10.3390/life13010124.

Ali, Raza and Chuah, Joon Huang and Abu Talip, Mohamad Sofian and Mokhtar, Norrima and Shoaib, Muhammad Ali (2022) Crack Segmentation Network using additive attention gate-CSN-II. Engineering Applications of Artificial Intelligence, 114. ISSN 0952-1976, DOI https://doi.org/10.1016/j.engappai.2022.105130.

Shoaib, Muhammad Ali and Lai, Khin Wee and Chuah, Joon Huang and Hum, Yan Chai and Ali, Raza and Dhanalakshmi, Samiappan and Wang, Huanhuan and Wu, Xiang (2022) Comparative studies of deep learning segmentation models for left ventricle segmentation. Frontiers in Public Health, 10. ISSN 2296-2565, DOI https://doi.org/10.3389/fpubh.2022.981019.

Akhter, Muhammad Naveed and Mekhilef, Saad and Mokhlis, Hazlie and Ali, Raza and Usama, Muhammad and Muhammad, Munir Azam and Mohd Khairuddin, Anis Salwa (2022) A hybrid deep learning method for an hour ahead power output forecasting of three different photovoltaic systems. Applied Energy, 307. ISSN 0306-2619, DOI https://doi.org/10.1016/j.apenergy.2021.118185.

Ali, Raza and Chuah, Joon Huang and Abu Talip, Mohamad Sofian and Mokhtar, Norrima and Shoaib, Muhammad Ali (2022) Structural crack detection using deep convolutional neural networks. Automation in Construction, 133. ISSN 0926-5805, DOI https://doi.org/10.1016/j.autcon.2021.103989.

Ali, Raza and Chuah, Joon Huang and Abu Talip, Mohamad Sofian and Mokhtar, Norrima and Shoaib, Muhammad Ali (2021) Automatic pixel-level crack segmentation in images using fully convolutional neural network based on residual blocks and pixel local weights. Engineering Applications of Artificial Intelligence, 104. ISSN 0952-1976, DOI https://doi.org/10.1016/j.engappai.2021.104391.

Chen, Chunhui and Chuah, Joon Huang and Ali, Raza and Wang, Yizhou (2021) Retinal vessel segmentation using deep learning: A review. IEEE Access, 9. pp. 111985-112004. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3102176.