Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Huaiwen, Zhang"'
Publikováno v:
Microbiome, Vol 12, Iss 1, Pp 1-18 (2024)
Abstract Background Clean energy hydrogen (H2) produced from abundant lignocellulose is an alternative to fossil energy. As an essential influencing factor, there is a lack of comparison between constant temperatures (35, 55 and 65 °C) and gradient
Externí odkaz:
https://doaj.org/article/83f7a5aa26d74fdf82bafde9f977a9a9
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-8 (2021)
Abstract Background Areca palm (Areca catechu L.) is an important commercial crop in southeast Asia, but its cultivation is threatened by yellowing leaf disease (YLD). Areca palm velarivirus 1 (APV1) was recently associated with YLD, but little is kn
Externí odkaz:
https://doaj.org/article/60ec918b25ce4748823b34d7f2f6cb66
Publikováno v:
Natural Gas Industry B, Vol 7, Iss 2, Pp 168-175 (2020)
There was little research on the changes and interconversion of organic compounds in the intermediate liquid-phase productsin the hydrogen production by anaerobic fermentation of coal. The types and concentrations of the intermediate liquid-phase pro
Externí odkaz:
https://doaj.org/article/bfe3d02c300542408323ece52a8c4342
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 31:301-312
Publikováno v:
IEEE Transactions on Multimedia. :1-14
Publikováno v:
Phytopathology®. 112:700-707
Yellow leaf disease (YLD) is the most destructive disease of betel palm (Areca catechu). A strong association between YLD and areca palm velarivirus 1 (APV1) has been observed. However, the causal relationship between APV1 and disease, and the transm
Publikováno v:
IEEE Transactions on Multimedia. 24:1449-1459
With the rapid development of social media platforms and the increasing scale of the social media data, the rumor detection task has become vitally important since the authenticity of posts cannot be guaranteed. To date, many approaches have been pro
Publikováno v:
BioEnergy Research.
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:2440-2448
Cross-modal retrieval has become an active study field with the expanding scale of multimodal data. To date, most existing methods transform multimodal data into a common representation space where semantic similarities between items can be directly