Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Fucai Yu"'
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0295983 (2024)
BackgroundCurrent treatment recommendations for resectable or borderline pancreatic carcinoma support upfront surgery and adjuvant therapy. However, neoadjuvant therapy (NT) seems to increase prognosis of pancreatic carcinoma and come to everyone's a
Externí odkaz:
https://doaj.org/article/b7849b2fa0a545109d6c33b5b8ff0539
Autor:
Shuangrui Yu, Ruiqi Li, Yuxi Zhang, Mingfei Wang, Peng Zhang, Aizhi Wu, Fucai Yu, Xiaofeng Zhang, Lin Yang, Yong'an Cui
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0291674 (2023)
Under the background of global climate change, rainstorm and flood disasters have become the most serious cataclysm. Under the circumstances of an increasingly severe risk situation, it is necessary to enhance urban disaster resilience. Based on the
Externí odkaz:
https://doaj.org/article/684068ee3c5a4458bf24239135851cb4
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 13, Iss 4, Pp 845-854 (2021)
To investigate the longitudinal deformation profile (LDP) of a deep tunnel in non-hydrostatic condition, an analytical model is proposed in our study. In this model, the problem is considered as a superposition of two partial models, and the displace
Externí odkaz:
https://doaj.org/article/c698b923720142d79f66e53adeef6e6c
Publikováno v:
Artificial Intelligence in Geosciences, Vol 1, Iss , Pp 31-35 (2020)
Fault interpretation plays a critical role in understanding the crustal development and exploring the subsurface reservoirs such as gas and oil. Recently, significant advances have been made towards fault semantic segmentation using deep learning. Ho
Externí odkaz:
https://doaj.org/article/8e865be363ed446caaaad57573e59060
Publikováno v:
IEEE Access, Vol 7, Pp 21834-21843 (2019)
Inspired by the generation power of generative adversarial networks (GANs) in image domains, we introduce a novel hierarchical architecture for learning characteristic topological features from a single arbitrary input graph via GANs. The hierarchica
Externí odkaz:
https://doaj.org/article/1be3057b62fd41bfba756359ceed72c5
Publikováno v:
Symmetry, Vol 13, Iss 5, p 905 (2021)
Many real-world networks can be modeled as attributed networks, where nodes are affiliated with attributes. When we implement attributed network embedding, we need to face two types of heterogeneous information, namely, structural information and att
Externí odkaz:
https://doaj.org/article/50024785cfb5480091a6538668db53f1
Publikováno v:
Entropy, Vol 23, Iss 3, p 292 (2021)
In recent years, on the basis of drawing lessons from traditional neural network models, people have been paying more and more attention to the design of neural network architectures for processing graph structure data, which are called graph neural
Externí odkaz:
https://doaj.org/article/571af960e9c64f2182ea32eb24434d4e
Autor:
Weiyi Liu, Pin-Yu Chen, Fucai Yu, Toyotaro Suzumura, Guangmin Hu, Hal Cooper, Min-Hwan Oh, Sailung Yeung
Publikováno v:
IEEE Access, Vol 7, Pp 133600-133601 (2019)
The authors have inadvertently left out three coauthors from the above paper [1]. The names of the three authors are Hal Cooper, Min-Hwan Oh, and Sailung Yeung.
Externí odkaz:
https://doaj.org/article/e4ae8d5f82134dda9c8e6c4f7a4558e8
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5f202b498b9f377420e656d0460084e
https://doi.org/10.1109/tgrs.2023.3262884
https://doi.org/10.1109/tgrs.2023.3262884
Publikováno v:
Acta Geophysica. 69:2187-2203
Fault detection of seismic data is a key step in seismic data interpretation. Many techniques have got good seismic fault detection results by supervised deep learning, which assumes that the training data and the prediction data have a similar data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77b913e618326cd48e2fd479d984d289
https://doi.org/10.1007/s11600-021-00668-5
https://doi.org/10.1007/s11600-021-00668-5