256 citations
- University of BahrainBH9 papers
- Al-Azhar UniversityEG7 papers
- Sohag UniversityEG4 papers
- King Saud UniversitySA3 papers
- Aswan UniversityEG2 papers
- Bremen Institute for Applied Beam TechnologyDE2 papers
- Chongqing UniversityCN2 papers
- ETH ZurichCH2 papers
- Lund UniversitySE2 papers
- Polish Academy of SciencesPL2 papers
- Prince Sattam Bin Abdulaziz UniversitySA2 papers
- AGH University of KrakowPL1 paper
55 papers
FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation
Xinxin Zhao, Jinpeng Ye, Bo Wei +8
Oralscan image segmentation is essential for computer-aided diagnosis and treatment planning in digital dentistry. However, existing visual state space models (SSMs) often rely on…
Chemical States and Local Structure in Cu-Deficient CuInSe2 Thin Films: Insights into Engineering and Bandgap Narrowing
Ahmed Yousef Mohamed, Byoung Gun Han, Hyeonseo Jang +6
The Cu-deficient CuxInSe2 (x larger than 0.3) phase can be stabilized as a thin film. A uniform Cu-deficient composition with a chalcopyrite structure was obtained by the precision…
Multilinear subspace learning for person re-identification based fusion of high order tensor features
Ammar Chouchane, Mohcene Bessaoudi, Hamza Kheddar +3
Video surveillance image analysis and processing is a challenging field in computer vision, with one of its most difficult tasks being Person Re-Identification (PRe-ID). PRe-ID aim…
A quantum system control method based on enhanced reinforcement learning
Wenjie Liu, Bosi Wang, Jihao Fan +2
Traditional quantum system control methods often face different constraints, and are easy to cause both leakage and stochastic control errors under the condition of limited resourc…
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review
Harold Brayan Arteaga-Arteaga, Melissa delaPava, Alejandro Mora-Rubio +12
There is a necessity to develop affordable, and reliable diagnostic tools, which allow containing the COVID-19 spreading. Machine Learning (ML) algorithms have been proposed to des…
Spontaneous imbibition in porous media: from pore scale to Darcy scale
Chao-Zhong Qin, Xin Wang, Mahmoud Hefny +2
Spontaneous imbibition has been receiving much attention due to its significance in many subsurface and industrial applications. Unveiling pore-scale wetting dynamics, and particul…