TSRC: A deep learning model for precipitation short-term forecasting over China using radar echo data

Q Huang, S Chen, J Tan - Remote Sensing, 2022 - mdpi.com
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 …

From local binary patterns to pixel difference networks for efficient visual representation learning

Z Su, M Pietikäinen, L Liu - Scandinavian Conference on Image Analysis, 2023 - Springer
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 …

[PDF][PDF] Automated classification of brain tumor-based magnetic resonance imaging using deep learning approach

HA Owida, G AlMahadin, JI Al-Nabulsi… - International Journal of …, 2024 - academia.edu
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 …

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 …

PDC-ViT: source camera identification using pixel difference convolution and vision transformer

O Elharrouss, Y Akbari, N Almadeed… - Neural Computing and …, 2025 - Springer
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 …