Author

Basab Nath

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Open access Sep 2026

Multi-scale attention-based feature learning for jujube fruit bruise detection and variety classification

Automated fruit classification plays a central role in post-harvest quality assessment, particularly in reducing dependence on manual inspection within smart agriculture systems. In this work, a deep learning framework, MSA-TNet, is introduced to address jujube fruit classification across two related tasks, binary br...

Yonis Gulzar, Sharyar Wani, Basab Nath et al. · Scientific Reports · 0 citations

Conference Open access Aug 2026

Uncertainty-Aware Short-Term Load Forecasting using Autoformer with Split Conformal Prediction

Results indicate that the proposed approach effectively balances predictive accuracy and uncertainty reliability, making it suitable for practical uncertainty-aware short-term load forecasting in smart grid applications.

Basab Nath, Angkita Mozinder Boruah, Krishna Kant Pandey · 2026 International Conferenc... · 0 citations

Aug 2026

DFruitNet: A Lightweight Dual-Attention Network with Feature Fusion for Explainable Dragon Fruit Disease Classification and Severity Assessment

DFruitNet is proposed, a lightweight dual-attention-based convolutional neural network for dragon fruit disease classification and severity estimation that integrates channel and spatial attention mechanisms with multiscale feature fusion to effectively capture both local and global visual patterns.

Basab Nath, Sandeep Kumar, Yonis Gulzar et al. · Applied Fruit Science · 0 citations