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Author

Md Sadman Haque

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Open access Sep 2026

An interpretable machine learning framework for predicting next day firm level market stress in the Dhaka Stock Exchange

Frequent market instability and the lack of rigorously validated forecasting frameworks pose significant challenges for predicting market stress in the Dhaka Stock Exchange (DSE). This study proposes a leakage-safe machine learning framework for next-day market stress prediction using historical trading data from 2008...

Md Sadman Haque, Mohammad Sameer Ahmed, Md Tasfikur Rahman et al. · 0 citations
Open access Sep 2026

Explainable binary gender-aware facial emotion recognition via hybrid deep learning and customized visual dataset

Facial emotion recognition (FER) is a critical component in human-computer interaction, but existing systems often suffer from limited demographic awareness and weak interpretability, as most methods overlook the influence of gender on facial expressions and rely on image-level classification without spatial localizati...

Md Sadman Haque, Md. Shakhawat Hossain, Zobaer Ibn Razzaque et al. · 0 citations

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