Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Yunzhi Shi"'
Autor:
Yali Hou, Chaoqun Mu, Yunzhi Shi, Zeyuan Zhang, Haifei Liu, Zilin Zhou, Sanliang Ling, Bingbing Shi, Xianglong Duan, Cheng Yang, Mingming Zhang
Publikováno v:
Aggregate, Vol 5, Iss 6, Pp n/a-n/a (2024)
Abstract Chirality in confined nanospaces has brought some new insights into chirality transfer, amplification, and chiroptical properties. However, chirality switching, which is a common phenomenon in biological systems, has never been realized in c
Externí odkaz:
https://doaj.org/article/7df02707144949eebe6239c8e8427d19
Autor:
Xuebin Wang, Jiecheng Ji, Zejiang Liu, Yimin Cai, Jialiang Tang, Yunzhi Shi, Cheng Yang, Lihua Yuan
Publikováno v:
Molecules, Vol 26, Iss 13, p 4064 (2021)
A hydrogen-bonded (H-bonded) amide macrocycle was found to serve as an effective component in the host–guest assembly for a supramolecular chirality transfer process. Circular dichroism (CD) spectroscopy studies showed that the near-planar macrocyc
Externí odkaz:
https://doaj.org/article/abec3a65c9454562a1bda0df57467620
Publikováno v:
Geophysical Journal International. 228:1054-1070
SUMMARY Subsurface velocity model building is a crucial step for seismic imaging. It is a challenging problem for conventional methods such as full-waveform inversion (FWI) and wave equation migration velocity analysis (WEMVA), due to the highly nonl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::153e0b29f66396d15418592dbbcb197a
https://doi.org/10.1093/gji/ggab385
https://doi.org/10.1093/gji/ggab385
Publikováno v:
GEOPHYSICS. 86:A1-A5
We have designed a deep-learning workflow to interactively track seismic geobodies. The algorithm is based on a flood-filling network, which performs iterative segmentation and moving the field of view (FoV). The proposed network takes the previous m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5750e0bdb1e3b3845344215751409cb7
https://doi.org/10.1190/geo2020-0042.1
https://doi.org/10.1190/geo2020-0042.1
Publikováno v:
GEOPHYSICS. 85:WA67-WA76
Picking horizons from seismic images is a fundamental step that could critically impact seismic interpretation quality. We have developed an unsupervised approach, waveform embedding, based on a deep convolutional autoencoder network to learn to tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c3a1f271c61b2a04c4b631bdbf724e4
https://doi.org/10.1190/geo2019-0438.1
https://doi.org/10.1190/geo2019-0438.1
Publikováno v:
GEOPHYSICS. 85:WA87-WA100
Constructing a relative geologic time (RGT) image from a seismic image is crucial for seismic structural and stratigraphic interpretation. In conventional methods, automatic RGT estimation from a seismic image is typically based on only local image f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2294e3f4fd450d1142ff8123c201390c
https://doi.org/10.1190/geo2019-0252.1
https://doi.org/10.1190/geo2019-0252.1
Publikováno v:
Corrosion Science. 212:110926
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a8283f7e4fde2a8a6cdcf45274197d6
https://doi.org/10.1016/j.corsci.2022.110926
https://doi.org/10.1016/j.corsci.2022.110926
Autor:
Xin Chen, Mehdi Noori, Dinesh Rao, Yunzhi Shi, Sachin Kharude, Joe Mays, Michael Kilberry, John Oram, Raj Biswas
Publikováno v:
SIGSPATIAL/GIS
Over 100 fatalities and more than 8000 injuries are reported on average every day in the US caused by motor vehicle accidents. In order to provide drivers a safer travel plan, we present a machine learning powered risk profiler for road segments usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f63be58d4ea467d9c134362a150ed9a2
https://doi.org/10.1145/3474717.3484253
https://doi.org/10.1145/3474717.3484253
Autor:
Jialiang Tang, Jiecheng Ji, Zejiang Liu, Yimin Cai, Yunzhi Shi, Cheng Yang, Xuebin Wang, Lihua Yuan
Publikováno v:
Molecules, Vol 26, Iss 4064, p 4064 (2021)
Molecules
Molecules
A hydrogen-bonded (H-bonded) amide macrocycle was found to serve as an effective component in the host–guest assembly for a supramolecular chirality transfer process. Circular dichroism (CD) spectroscopy studies showed that the near-planar macrocyc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f25829d94f091b33b8fd8ac095d306b
https://www.mdpi.com/1420-3049/26/13/4064
https://www.mdpi.com/1420-3049/26/13/4064
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 57:9138-9155
We simultaneously estimate fault probabilities, strikes, and dips directly from a seismic image by using a single convolutional neural network (CNN). In this method, we assume a local 3-D fault is a plane defined by a single combination of strike and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c641fb62673cdf97247b2ecade342552
https://doi.org/10.1109/tgrs.2019.2925003
https://doi.org/10.1109/tgrs.2019.2925003