Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Yuhu Wang"'
Autor:
Zhenqi Sun, Dongyang Liu, Bin Li, Fangfang Yan, Yuhu Wang, Tianqi Yang, Haijuan Wang, Jiaxin Xu, Hongyou Zhou, Mingmin Zhao
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
IntroductionTobacco vein mottling virus (TVMV) is a member of the family Potyviridae. The 3’ untranslated region (3’UTR) of viral genomic RNA has been reported to significantly impact viral infection. Nevertheless, the role of the TVMV 3’UTR du
Externí odkaz:
https://doaj.org/article/8767370f0e5b4f22ac047ca46fab4f42
Autor:
Yuhu Wang, Zhenqi Sun, Qianqian Zhao, Xiangdong Yang, Yahui Li, Hongyou Zhou, Mingmin Zhao, Hongli Zheng
Publikováno v:
Frontiers in Microbiology, Vol 14 (2024)
IntroductionEndophytes are colonizers of healthy plants and they normally exhibit biocontrol activities, such as reducing the occurrence of plant diseases and promoting plant growth. The endophytic bacterium Bacillus halotolerans Q2H2 (Q2H2) was isol
Externí odkaz:
https://doaj.org/article/14b4b9556b4e4beaaa13226d2fb110a3
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-18 (2022)
Abstract Background Brain tumor segmentation plays a significant role in clinical treatment and surgical planning. Recently, several deep convolutional networks have been proposed for brain tumor segmentation and have achieved impressive performance.
Externí odkaz:
https://doaj.org/article/e6efe4b41b414a2383cf9e031aa7df2a
Autor:
Yuhu Wang, Qianqian Zhao, Zhenqi Sun, Yahui Li, Hongtao He, Yuanyu Zhang, Xiangdong Yang, Dong Wang, Baozhu Dong, Hongyou Zhou, Mingmin Zhao, Hongli Zheng
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
IntroductionEndophytes are non-pathogenic inhabitants of healthy plant tissues and have been found to promote plant growth and health. The endophytic bacterial strain Q2H1 was isolated from the roots of the potato and was identified to exhibit growth
Externí odkaz:
https://doaj.org/article/d4ac7502e3534e0aa71127a72b4ba02a
Publikováno v:
Neural Networks. 154:190-202
Spatial-temporal graph modeling has been widely studied in many fields, such as traffic forecasting and energy analysis, where data has time and space properties. Existing methods focus on capturing stable and dynamic spatial correlations by construc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ad75f7d1a965542f7cea5b189a0ce60
https://doi.org/10.1016/j.neunet.2022.07.017
https://doi.org/10.1016/j.neunet.2022.07.017
Publikováno v:
Neurocomputing. 471:118-129
Traffic forecasting is a very challenging task due to the complicated and dynamic spatial-temporal correlations between traffic nodes. Most existing methods measure the spatial correlations by defining physical or virtual graphs with distance or simi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25f45ce72aa88f509aa15f836afb3e8
https://doi.org/10.1016/j.neucom.2021.11.006
https://doi.org/10.1016/j.neucom.2021.11.006
Autor:
Zhenheng Sun, Jiecai Fu, Yuhu Wang, Yaxiong Zhang, Yupeng Liu, Situo Cheng, Xiaosha Cui, Er Qing Xie
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a60fcac906241a308798ac32420648e
https://doi.org/10.2139/ssrn.4327271
https://doi.org/10.2139/ssrn.4327271
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acfba7511b4ffef6d341aec08306a884
https://doi.org/10.1109/bibm55620.2022.9995575
https://doi.org/10.1109/bibm55620.2022.9995575
Publikováno v:
2022 2nd International Conference on Bioinformatics and Intelligent Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55e749bdcd05c281c9dd13727a9c6f0e
https://doi.org/10.1145/3523286.3524575
https://doi.org/10.1145/3523286.3524575
Publikováno v:
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::228a47c46cfce9853c97829b9b70fa2e
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00321
https://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00321