Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Qianru, Wei"'
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 12 (2024)
Idiopathic pulmonary fibrosis (IPF) is a prevalent chronic pulmonary fibrosis disease characterized by alveolar epithelial cell damage, fibroblast proliferation and activation, excessive extracellular matrix deposition, and abnormal epithelial-mesenc
Externí odkaz:
https://doaj.org/article/d92c4c71530e49ceb30c682282205606
Publikováno v:
Sensors, Vol 23, Iss 3, p 1668 (2023)
It is difficult to collect training samples for all types of synthetic aperture radar (SAR) targets. A realistic problem comes when unseen categories exist that are not included in training and benchmark data at the time of recognition, which is defi
Externí odkaz:
https://doaj.org/article/dec0ebeeb3a44e3281db5710666dd3ea
Autor:
Xiang Zhao, Liang-Zhe Wu, Esther K. Y. Ng, Kerisa W. S. Leow, Qianru Wei, Nicholas R. J. Gascoigne, Joanna Brzostek
Publikováno v:
Frontiers in Immunology, Vol 12 (2021)
Under physiological conditions, CD8+ T cells need to recognize low numbers of antigenic pMHC class I complexes in the presence of a surplus of non-stimulatory, self pMHC class I on the surface of the APC. Non-stimulatory pMHC have been shown to enhan
Externí odkaz:
https://doaj.org/article/77356d9f19ec4a2eb49a0714187b27e7
Publikováno v:
Sensors, Vol 22, Iss 19, p 7640 (2022)
Traditional deep learning methods such as convolutional neural networks (CNN) have a high requirement for the number of labeled samples. In some cases, the cost of obtaining labeled samples is too high to obtain enough samples. To solve this problem,
Externí odkaz:
https://doaj.org/article/4a16cbddfbee4e72b670caae14091ff4
Publikováno v:
The International Arab Journal of Information Technology. 20
Cross-domain sentiment classification transfers the knowledge from the source domain to the target domain lacking supervised information for sentiment classification. Existing cross-domain sentiment classification methods establish connections by ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9467d2721f0c1841939a6baaa363cf91
https://doi.org/10.34028/iajit/20/1/15
https://doi.org/10.34028/iajit/20/1/15
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:6688-6705
Edge detection is a critical component of synthetic aperture radar (SAR) image interpretation. Due to serious speckle noise, the core problems for SAR edge detection are how to keep a constant false alarm rate (CFAR) and how to achieve unbiased local
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8deb8b329f5d883b70a48721948ef06
https://doi.org/10.1109/tgrs.2020.3031905
https://doi.org/10.1109/tgrs.2020.3031905
Publikováno v:
Cell Mol Immunol
T cells react to foreign or self-antigens through T cell receptor (TCR) signaling. Several decades of research have delineated the mechanism of TCR signal transduction and its impact on T cell performance. This knowledge provides the foundation for c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1a05bfee27ae79caf4ccbab03c28a22
https://doi.org/10.1038/s41423-020-0470-3
https://doi.org/10.1038/s41423-020-0470-3
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031159305
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d3fd9e6417e87e2d6ffc9dc8c0faca1
https://doi.org/10.1007/978-3-031-15931-2_5
https://doi.org/10.1007/978-3-031-15931-2_5
Autor:
Ling Wu, Joanna Brzostek, Previtha Dawn Sakthi Vale, Qianru Wei, Clara K.T. Koh, June Xu Hui Ong, Liang-zhe Wu, Jia Chi Tan, Yen Leong Chua, Jiawei Yap, Yuan Song, Vivian Jia Yi Tan, Triscilla Y.Y. Tan, Junyun Lai, Paul A. MacAry, Nicholas R.J. Gascoigne
Publikováno v:
Cell Reports Medicine. 4:100917
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::884252cdfc306c28ed92aafa065829e6
https://doi.org/10.1016/j.xcrm.2023.100917
https://doi.org/10.1016/j.xcrm.2023.100917
Publikováno v:
Signal Processing: Image Communication. 110:116890
The poor quality of underwater images has become a widely-known cause affecting the performance of the underwater development projects, including mineral exploitation, driving photography, and navigation for autonomous underwater vehicles. In recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3756b56c66b4a5864f4083c500281870
https://doi.org/10.1016/j.image.2022.116890
https://doi.org/10.1016/j.image.2022.116890