Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Liangzhe Han"'
Autor:
Zikai Hao, Chen Meng, Leyuan Li, Siyuan Feng, Yinzhen Zhu, Jianlou Yang, Liangzhe Han, Leilei Sun, Weifeng Lv, Daniel Figeys, Hong Liu
Publikováno v:
Microbiome, Vol 11, Iss 1, Pp 1-22 (2023)
Abstract Background Psychological health risk is one of the most severe and complex risks in manned deep-space exploration and long-term closed environments. Recently, with the in-depth research of the microbiota–gut–brain axis, gut microbiota ha
Externí odkaz:
https://doaj.org/article/ea4ff79fd20b4bdfaf84d31aa4b202a9
Publikováno v:
Neurocomputing. 423:135-147
Traffic accidents usually lead to severe human casualties and huge economic losses in real-world scenarios. Timely accurate prediction of traffic accidents has great potential to protect public safety and reduce economic losses. However, it is challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::495330a88903bdbbb77ee5255b751d40
https://doi.org/10.1016/j.neucom.2020.09.043
https://doi.org/10.1016/j.neucom.2020.09.043
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783031109881
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::329075c1f04071c49a7ebe2d950ce216
https://doi.org/10.1007/978-3-031-10989-8_2
https://doi.org/10.1007/978-3-031-10989-8_2
Publikováno v:
KDD
Dynamic Graph Neural Networks (DGNNs) have become one of the most promising methods for traffic speed forecasting. However, when adapting DGNNs for traffic speed forecasting, existing approaches are usually built on a static adjacency matrix (no matt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e628a1e6e0b023806cd7dd93b5f3d272
https://doi.org/10.1145/3447548.3467275
https://doi.org/10.1145/3447548.3467275
Publikováno v:
Computers & Geosciences. 155:104860
The visual characteristics of landslide susceptibility have not yet been fully explored. Professional or trained technicians have to take much time and effort to interpret remote sensing images and locate landslides accordingly. Although conventional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d4e0d6ead9ca4f7d3b52fdad75a6be3
https://doi.org/10.1016/j.cageo.2021.104860
https://doi.org/10.1016/j.cageo.2021.104860