Author

Kazi Nabiul Alam

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Preprint Aug 2026

Few-Shot Ordinal Learning for Day-Wise Freshness Estimation with Hyperspectral Fish Images

Non-destructive food quality assessment has increasingly benefited from hyperspectral imaging (HSI), which captures spectral signatures linked to biochemical changes during storage. Estimating day-wise freshness, however, remains challenging owing to strong inter-fillet variability and scarce labelled data per product....

Kazi Nabiul Alam, P. B. Zadeh, Akbar Sheikh-Akbari · 0 citations

Preprint Aug 2026

Domain-Aware Lightweight Spectral-Grouped Convolutions for Hyperspectral Fish Freshness Classification

SGNet (Spectral-Grouped Network), a lightweight architecture that separates spectral and spatial feature extraction using grouped convolutions and a depthwise spatial pathway, is proposed, indicating that domain-aware design supports precise, real-time freshness prediction for industrial implementation.

Kazi Nabiul Alam, P. B. Zadeh, Akbar Sheikh-Akbari · 0 citations