Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Qihao Zhao"'
Autor:
Lingling Cheng MS, Liangfeng Xu MS, Hua Yuan BS, Qihao Zhao MS, Wei Yue MS, Shuang Ma MS, Xiaojing Wu BS, Dandan Gu BS, Yurong Sun BS, Haifeng Shi BS, Jianlin Xu MD
Publikováno v:
Integrative Cancer Therapies, Vol 23 (2024)
Background: Jianpi Jiedu Recipe has been used to treat digestive tract tumors in China since ancient times, and its reliability has been proven by clinical research. Currently, the specific biological mechanism of JPJDR in treating tumors is unclear.
Externí odkaz:
https://doaj.org/article/a873a7b6ace642a8a23ab12e0db6e63a
Publikováno v:
IEEE Access, Vol 12, Pp 117354-117362 (2024)
Fire has consistently posed a significant disaster risk worldwide. Current fire detection methods primarily rely on traditional physical sensors such as light, smoke, and temperature detectors, which often struggle in complex environments. The suscep
Externí odkaz:
https://doaj.org/article/6aefb321839f4da194622acd54d3f632
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Introduction: In this study, a surface-enhanced Raman scattering (SERS) sensor based on a functionalized Au/Si cap-cone array (Au/Si CCA) was constructed using the identity-release strategy to detect Vimentin changes during epithelial-mesenchymal tra
Externí odkaz:
https://doaj.org/article/b9e1160e57474cce87f72f1879e9bb23
Publikováno v:
Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b480f0ca469c17f66b8a1a4c7ae8c02
https://doi.org/10.1117/12.2623597
https://doi.org/10.1117/12.2623597
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 144
Learning deep neural network (DNN) classifier with noisy labels is a challenging task because the DNN can easily over-fit on these noisy labels due to its high capability. In this paper, we present a very simple but effective training paradigm called
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f68ea5121a5070bd0f97c3ea0fbcab1
https://pubmed.ncbi.nlm.nih.gov/34418693
https://pubmed.ncbi.nlm.nih.gov/34418693
Publikováno v:
ICPR
Learning deep neural network (DNN) classifier with noisy labels is a challenging task because the DNN can easily over-fit on these noisy labels due to its high capability. In this paper, we present a very simple but effective training paradigm called
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23c445e5267073ec1d1cddac4d2eefc4
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 677:042042
Load frequency control (LFC) is an important method for frequency regulation in interconnected power grids. It is proposed that an improved moth-flame optimization algorithm based fractional-order PID load frequency control for hydro-thermal intercon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e7087c4294a768fd40dc1b0f7d5596
https://doi.org/10.1088/1757-899x/677/4/042042
https://doi.org/10.1088/1757-899x/677/4/042042
Publikováno v:
IOP Conference Series: Materials Science & Engineering; Dec2019, Vol. 677 Issue 4, p1-1, 1p