Industrial Fault Diagnosis using Hilbert Transform and Texture Features. - Mahe Zabin; Ho-Jin Choi; Jia Uddin; Md. Hasan Furhad; Abu S. S. M. Barkat Ullah (BigComp, 2021)

Hybrid deep transfer learning architecture for industrial fault diagnosis using Hilbert transform and DCNN-LSTM. - Mahe Zabin; Ho-Jin Choi; Jia Uddin (J. Supercomput., 2023)

Contrastive self-supervised representation learning framework for metal surface defect detection. - Mahe Zabin; Anika Nahian Binte Kabir; Muhammad Khubayeeb Kabir; Ho-Jin Choi; Jia Uddin (J. Big Data, 2023)

Machine Fault Diagnosis Using EMD-Gammatone Texture Representation and A Lightweight Self-Attention SqueezeNet. - Mahe Zabin; Anika Nahian Binte Kabir; Muhammad Khubayeeb Kabir; Ho-Jin Choi; Jia Uddin (BigComp, 2024)

Few-Shot Learning-Based Machine Fault Diagnosis Using EMD-Gammatone Spectrogram with Limited Labeled Audio Dataset. - Mahe Zabin; Syed Tasnimul Karim Ayon; Farhan Md. Siraj; Mehedi Hasan Shuvo; Ho-Jin Choi; Jia Uddin (BigComp, 2025)

Impact of Tuning Parameters in Deep Convolutional Neural Network Using a Crack Image Dataset. - Mahe Zabin; Ho-Jin Choi; Md. Monirul Islam; Jia Uddin (CoRR, 2025)