Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Hengtong HU"'
Publikováno v:
Agriculture, Vol 14, Iss 3, p 434 (2024)
This paper proposes a solution to the problem of tight population in the filling area of traditional air suction seed metering devices during quinoa sowing, which leads to inaccurate adsorption. The proposed method disperses the population into a sta
Externí odkaz:
https://doaj.org/article/aff6d09baa7848848ffa85aaf0397abb
Autor:
Xu Yang, Yingsi Wu, Lihe Wang, Fei Liu, Xuan Zhao, Hongbin Bai, Wenxue Dong, Xiang Kong, Hengtong Hu, Wendong Zhong, Dezheng Xuan, Ao Yang, Yutao Ma
Publikováno v:
Agriculture, Vol 14, Iss 3, p 454 (2024)
To address problems encountered in current potato harvesting machines, such as potato damage, poor adaptability, and low operational efficiency, a new towed potato picking and bagging machine (4UJ-180A) equipped with a soil-digging axis, flexible con
Externí odkaz:
https://doaj.org/article/ab9541692503444db965497088472cb2
Publikováno v:
Applied Sciences, Vol 14, Iss 3, p 1309 (2024)
Aiming to solve the problems of the large harvesting loss and low harvesting efficiency of wide- and narrow-row corn harvesting header in China, a method for the side installation of a header is proposed. A wide–narrow-row corn harvesting header wi
Externí odkaz:
https://doaj.org/article/52de40dbcea14967bb95a59f3dac833b
Autor:
Wenxue DONG, Na LI, Fei LIU, Xuan ZHAO, Lihe WANG, Dezheng XUAN, Wendong ZHONG, Hengtong HU, Xiang KONG, Xinyu MENG, Mingyi LI, Zhijiang DUAN
Publikováno v:
INMATEH - Agricultural Engineering; 2023, Vol. 71 Issue 3, p406-418, 13p
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200557
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f904c8013bfe0e16d14e13b2eea0ff75
https://doi.org/10.1007/978-3-031-20056-4_10
https://doi.org/10.1007/978-3-031-20056-4_10
Unsupervised domain adaptation (UDA) is an important topic in the computer vision community. The key difficulty lies in defining a common property between the source and target domains so that the source-domain features can align with the target-doma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a63ab4bed11f1283ab03faeac1a996e
Publikováno v:
CVPR
In recent years, cross-modal hashing (CMH) has attracted increasing attentions, mainly because its potential ability of mapping contents from different modalities, especially in vision and language, into the same space, so that it becomes efficient i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc79d94aa7a050f4d0c156c32d7ebd41
http://arxiv.org/abs/2004.00280
http://arxiv.org/abs/2004.00280
Publikováno v:
MultiMedia Modeling ISBN: 9783030057091
MMM (1)
MMM (1)
Graph-based learning methods especially multi-graph-based methods have attracted considerable research interests in the past decades. In these methods, the traditional graph models are used to build adjacency relationships for samples within differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e93304732343064bd43fd99629a0bb1
https://doi.org/10.1007/978-3-030-05710-7_57
https://doi.org/10.1007/978-3-030-05710-7_57
Autor:
Qingyong Ma, Junhui Li, Huanchen Sha, Hengtong Hu, Zheng Wang, Kun Guo, Dong Zhang, Min Zhang
Publikováno v:
Current pharmaceutical design. 16(4)
The action of L-arginine is mainly dependent on its end-product, nitric oxide (NO). The L-arginine/NO pathway has been confirmed to play an important role in tumor development. Recent findings indicate that NO derived from L-arginine could influence