Author

J. Uddin

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Open access Oct 2026

DepressNet: an interpretable machine learning framework for depression severity stratification using psychometric data

Depression is a highly prevalent mental health condition worldwide, affecting approximately 332 million individuals and contributing significantly to global disability burden. In computational mental health research, machine learning approaches are increasingly applied to structured psychometric questionnaires; however...

Anika Rahman, Fahmid Al Farid, Md Humaion Kabir Mehedi et al. · Frontiers of Computer Scienc... · 0 citations

Open access Aug 2026

DiffWaferNet: a lightweight differential attention-based network for wafermap defect classification

In the semiconductor manufacturing process, wafermap defect classification is crucial for ensuring product quality and reliability. Despite recent advances, underrepresented defect types in wafer datasets continue to suffer from poor performance due to severe class imbalance, and models with large parameter counts pres...

Md. Ryhan Uddin, Md. Saiful Islam, Fahmid Al Farid et al. · PeerJ Computer Science · 0 citations

Open access 2026

From Pneumonia to Multi-Disease: Interpretable and Uncertainty-Aware Semi-Supervised Learning Strategies for Chest X-Ray Classification

The proposed framework shows that lightweight deep learning models combined with semi-supervised learning, uncertainty estimation, and explainability can provide accurate, efficient, and clinically reliable solutions for automated chest X-ray diagnosis.

S. Mahin, Tahmina Hasan, Sara Karim et al. · IEEE Access · 0 citations

Open access Aug 2026

An integrated evaluation protocol for adversarial robustness, generalization, and explanation stability in URL-based phishing detection

An integrated robustness evaluation protocol for URL-based phishing detection is proposed, which integrates structured adversarial perturbation, unseen attack-family generalization, compositional attack effects, explanation stability, and external vulnerability transfer.

Tanvir Ahamed, Shawon Chakrabarty Kakon, Fahmid Al Farid et al. · Frontiers of Computer Scienc... · 0 citations

Open access Jul 2026

Cross-domain intelligent fault diagnosis with superlet spectrograms and a parameter-efficient CNN-Transformer hybrid.

Results validate that the proposed framework provides an effective, robust, and generalizable solution for industrial fault diagnosis.

S. Anik, Md. Ehsanul Haque, Fahmid Al Farid et al. · Scientific Reports · 0 citations