Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Yuanqing Tang"'
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4285 (2021)
Precipitation nowcasting by radar echo extrapolation using machine learning algorithms is a field worthy of further study, since rainfall prediction is essential in work and life. Current methods of predicting the radar echo images need further impro
Externí odkaz:
https://doaj.org/article/91fc300347da4d7ead39ef8829b57cc5
Autor:
Tongshuai, Liu, Yan, Zhang, Yuanqing, Tang, Xiaozhuang, Wang, Chen, Zhao, Nan, Wang, Yucan, Liu
Publikováno v:
In Journal of Water Process Engineering April 2022 46
Autor:
Gopal Sirasani, Sandra Sinishtaj, Florine Collin, Jacek G. Martynow, He Zhao, Vinay V. Thakur, Erin M. Duffy, Chowdhury Somenath, Jianmin Mao, Yuanqing Tang, Ashoke Bhattacharjee, Yusheng Wu
Publikováno v:
Tetrahedron Letters. 60:371-374
Highly efficient substrate and reagent controlled stereoselective synthesis of 2,6-trans-piperidine derivative (1) using an aza-Michael reaction is reported. This method was utilized to synthesize a variety of trans-piperidines on hundred-gram scales
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c514f5536e06890d4bae68556d90811
https://doi.org/10.1016/j.tetlet.2018.12.061
https://doi.org/10.1016/j.tetlet.2018.12.061
Autor:
Alexander J. Norquist, D. Frank Hsu, Hamed Eramian, Zhi Li, Emory M. Chan, Joshua Schrier, Mansoor Ani Najeeb Nellikkal, Yuanqing Tang
Publikováno v:
Journal of chemical information and modeling, vol 61, iss 4
Combinatorial fusion analysis (CFA) is an approach for combining multiple scoring systems using the rank-score characteristic function and cognitive diversity measure. One example is to combine diverse machine learning models to achieve better predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7145ea93f3ef948fe8c52bf2a3f1e362
https://escholarship.org/uc/item/45z0s3dp
https://escholarship.org/uc/item/45z0s3dp
Publikováno v:
Remote Sensing, Vol 13, Iss 4285, p 4285 (2021)
Remote Sensing; Volume 13; Issue 21; Pages: 4285
Remote Sensing; Volume 13; Issue 21; Pages: 4285
Precipitation nowcasting by radar echo extrapolation using machine learning algorithms is a field worthy of further study, since rainfall prediction is essential in work and life. Current methods of predicting the radar echo images need further impro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de8b90a28f1e5c0597ccb75fb7093a46
https://doi.org/10.3390/rs13214285
https://doi.org/10.3390/rs13214285
Autor:
Yan, Zhang, Tongshuai, Liu, Yuanqing, Tang, Wanli, Zhao, Fangyun, Ren, Tongguo, Zhao, Yucan, Liu
Publikováno v:
Environmental Science & Pollution Research; Apr2022, Vol. 29 Issue 18, p26675-26687, 13p
Publikováno v:
Ocean Engineering. 232:109041
The deficiencies of massive data like storage difficulty, computation inefficiency, and information redundancy call for ship trajectory compression. While most studies on ship trajectory compression have one or more of the following drawbacks: the dr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2da3001869019d0ce38bb419c9c887a8
https://doi.org/10.1016/j.oceaneng.2021.109041
https://doi.org/10.1016/j.oceaneng.2021.109041
Autor:
Francis C. K. Chiu, David M. Shackleford, Karen L. White, Sergio Wittlin, Sriraghavan Kamaraj, Qingjie Zhao, Petros Papastogiannidis, Jonathan L. Vennerstrom, Eileen Ryan, Heinrich Urwyler, Christian Scheurer, Christopher D. Hein, Manickam Dhanasekaran, Vivek J. Bulbule, Lin Zhou, Helena Barker, Yuxiang Dong, Julia Morizzi, Susan A. Charman, Jacques Chollet, Xiaofang Wang, William N. Charman, Hugues Matile, Yuanqing Tang
Publikováno v:
Journal of Medicinal Chemistry. 60:2654-2668
Building on insights gained from the discovery of the antimalarial ozonide arterolane (OZ277), we now describe the structure–activity relationship (SAR) of the antimalarial ozonide artefenomel (OZ439). Primary and secondary amino ozonides had highe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e5d0e4db318313ac45676fe7371d64d
https://doi.org/10.1021/acs.jmedchem.6b01586
https://doi.org/10.1021/acs.jmedchem.6b01586
Publikováno v:
Water, Vol 12, Iss 2, p 441 (2020)
Water
Volume 12
Issue 2
Water
Volume 12
Issue 2
In this study, we utilized simulated icing experiments to investigate the effect of icing thickness, freezing temperature and initial concentration on the migration of iron in the ice&ndash
water system during water icing. The distribution coeff
water system during water icing. The distribution coeff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80350164cb3f88a691a9f8fc5bbb9081
https://doi.org/10.3390/w12020441
https://doi.org/10.3390/w12020441
Publikováno v:
Water
Volume 11
Issue 8
Water, Vol 11, Iss 8, p 1626 (2019)
Volume 11
Issue 8
Water, Vol 11, Iss 8, p 1626 (2019)
Our research focused on the migration law of the total manganese (TMn) during the process of water icing. We utilized two experimental methods: (1) natural icing and (2) simulated icing. While using laboratory simulation, we explored the effects of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8518382a05e3b99bc826f3f80d76fb33
https://doi.org/10.3390/w11081626
https://doi.org/10.3390/w11081626