1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting
Gourav Jyoti Kalita, Hidam Kumarjit Singh
Proper short-term forecasting of precipitation is crucial in disaster management and preparedness. Nonetheless, the variability and nonlinearity of precipitation make short-term fo…
eess.IV2025
Interpretable Deep Learning Framework for Improved Disease Classification in Medical Imaging
Jutika Borah, Hidam Kumarjit Singh
Deep learning models have gained increasing adoption in medical image analysis. However, these models often produce overconfident predictions, which can compromise clinical accurac…
eess.IV2024★ 1 cited
Disease Classification and Impact of Pretrained Deep Convolution Neural Networks on Diverse Medical Imaging Datasets across Imaging Modalities
Jutika Borah, Kumaresh Sarmah, Hidam Kumarjit Singh
Imaging techniques such as Chest X-rays, whole slide images, and optical coherence tomography serve as the initial screening and detection for a wide variety of medical pulmonary a…