Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Yuhu Wang"'
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
Autor:
Zhenheng Sun, Jiecai Fu, Yuhu Wang, Yaxiong Zhang, Yupeng Liu, Situo Cheng, Xiaosha Cui, Er Qing Xie
Publikováno v:
SSRN Electronic Journal.
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
Autor:
Zhenheng Sun, Jiecai Fu, Yaxiong Zhang, Yuhu Wang, Yupeng Liu, Situo Cheng, Xiaosha Cui, Erqing Xie
Publikováno v:
Journal of Alloys and Compounds. 954:170198
Publikováno v:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Publikováno v:
2022 2nd International Conference on Bioinformatics and Intelligent Computing.
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).