Zobrazeno 1 - 10
of 81
pro vyhledávání: '"YI-TING SHEN"'
Autor:
Chiao-Yi Wang, Guru Nandhan Appiya Dilipkumar Peethambari, Yi-Ting Shen, Wei-Yu Chen, Sandip Sharan Senthil Kumar, Alexander Long, Alan Williams, Gudjon Magnusson, Allen Pattillo, Don Webster, Matthew Gray, Miao Yu, Yang Tao
Publikováno v:
IEEE Access, Vol 12, Pp 177829-177843 (2024)
Shellfish aquaculture significantly contributes to the coastal economy of the United States. However, the current primary and most productive harvesting method for on-bottom shellfish farming—dredging with tow dredges —is highly inefficient, as f
Externí odkaz:
https://doaj.org/article/812b0c86909143eb82cf65db80d685a3
Autor:
Yi-Ting Shen, Yaesop Lee, Heesung Kwon, Damon M. Conover, Shuvra S. Bhattacharyya, Nikolas Vale, Joshua D. Gray, G. Jeremy Leong, Kenneth Evensen, Frank Skirlo
Publikováno v:
IEEE Access, Vol 11, Pp 80958-80972 (2023)
Learning to detect objects, such as humans, in imagery captured by an unmanned aerial vehicle (UAV) usually suffers from tremendous variations caused by the UAV’s position towards the objects. In addition, existing UAV-based benchmark datasets do n
Externí odkaz:
https://doaj.org/article/26f6b501c3a74f4db92f18ab92d00b23
Autor:
Lu Wang1, Yi-Ting Shen1, Yu-Xin Wang1, Hai-Ying Wang1 wanghy@jsnu.edu.cn, Wen-Juan Hao1 wjhao@jsnu.edu.cn, Bo Jiang1 jiangchem@jsnu.edu.cn
Publikováno v:
Advanced Synthesis & Catalysis. 5/23/2023, Vol. 365 Issue 10, p1693-1698. 6p.
Publikováno v:
Advanced Synthesis & Catalysis. 365:1693-1698
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::288316664959fef864927a62622b4808
https://doi.org/10.1002/adsc.202300272
https://doi.org/10.1002/adsc.202300272
Publikováno v:
Cells, Vol 10, Iss 6, p 1370 (2021)
Obesity, a dysregulation of adipose tissue, is a major health risk factor associated with many diseases. Brown adipose tissue (BAT)-mediated thermogenesis can potentially regulate energy expenditure, making it an attractive therapeutic target to comb
Externí odkaz:
https://doaj.org/article/3cd6e69c59764ca7993eb23e714929d1
Autor:
Huei-Fen Jheng, Pei-Jane Tsai, Yi-Lun Chuang, Yi-Ting Shen, Ting-An Tai, Wen-Chung Chen, Chuan-Kai Chou, Li-Chun Ho, Ming-Jer Tang, Kuei-Tai A. Lai, Junne-Ming Sung, Yau-Sheng Tsai
Publikováno v:
Disease Models & Mechanisms, Vol 8, Iss 10, Pp 1311-1321 (2015)
Increased urinary albumin excretion is not simply an aftermath of glomerular injury, but is also involved in the progression of diabetic nephropathy (DN). Whereas Toll-like receptors (TLRs) are incriminated in the renal inflammation of DN, whether an
Externí odkaz:
https://doaj.org/article/f8725bd41e71452a89905290829db408
Publikováno v:
Chemical communications (Cambridge, England). 58(74)
A new electrochemical selective annulative amino-ketalization and amino-oxygenation of 1,6-enynes with disulfonimides and alcohols is reported, producing a series of functionalized benzofurans under catalyst- and oxidant-free conditions. The annulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0490bf40f5ceffc1295c8a3b3c8acb5
https://pubmed.ncbi.nlm.nih.gov/36043317
https://pubmed.ncbi.nlm.nih.gov/36043317
Autor:
Yaesop Lee, Eung-Joo Lee, Damon M. Conover, Yi-Ting Shen, Heesung Kwon, Shuvra S. Bhattacharyya, Jason Hill, Kenneth Evensen, Jeremy Leong
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c36e822945758203e53e08ca6b8f8bf
https://doi.org/10.1117/12.2618636
https://doi.org/10.1117/12.2618636
Publikováno v:
The Journal of organic chemistry. 86(21)
A concise copper catalysis strategy for the addition-cyclization of cyclic oxime esters across 1,6-enynes with high stereoselectivity to generate 1-indanones bearing an all-carbon quaternary center is reported. In this process, single-electron reduct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0643971e0037501321be30967084cb8
https://pubmed.ncbi.nlm.nih.gov/34664501
https://pubmed.ncbi.nlm.nih.gov/34664501
Publikováno v:
WHISPERS
Deep learning based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep learning based hyperspectral image analysis systems is challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::080210a8d9d83cb9999c0543589dd8e7
https://doi.org/10.1109/whispers52202.2021.9483973
https://doi.org/10.1109/whispers52202.2021.9483973