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TSRC: A deep learning model for precipitation short-term forecasting over China using radar echo data
Currently, most deep learning (DL)-based models for precipitation forecasting face two
conspicuous issues: the smoothing effect in the precipitation field and the degenerate effect …
conspicuous issues: the smoothing effect in the precipitation field and the degenerate effect …
From local binary patterns to pixel difference networks for efficient visual representation learning
LBP is a successful hand-crafted feature descriptor in computer vision. However, in the deep
learning era, deep neural networks, especially convolutional neural networks (CNNs) can …
learning era, deep neural networks, especially convolutional neural networks (CNNs) can …
[PDF][PDF] Automated classification of brain tumor-based magnetic resonance imaging using deep learning approach
The treatment of brain tumors poses significant challenges and contributes to a significant
number of deaths on a global scale. The process of identifying brain tumors in medical …
number of deaths on a global scale. The process of identifying brain tumors in medical …
SDCN: Spectral–Spatial Difference Convolution Network for Hyperspectral Image Classification
Z Zhang, H Feng, C Zhang, Q Ma… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
A novel spectral–spatial difference convolution network (S DCN) is proposed for
hyperspectral image (HSI) classification, which integrates the difference principle into the …
hyperspectral image (HSI) classification, which integrates the difference principle into the …
PDC-ViT: source camera identification using pixel difference convolution and vision transformer
Source camera identification has emerged as a vital solution to unlock incidents involving
critical cases like terrorism, violence, and other criminal activities. The ability to trace the …
critical cases like terrorism, violence, and other criminal activities. The ability to trace the …