Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Hanqi Zhu"'
Publikováno v:
Journal of Materials Chemistry A; 6/21/2024, Vol. 12 Issue 23, p13703-13712, 10p
Akademický článek
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Autor:
Yan, Yan, Hanqi, Zhu
Publikováno v:
Monatshefte für Mathematik; Feb2024, Vol. 203 Issue 2, p523-542, 20p
Autor:
Yingjie Wang, Qiuyu Mao, Hanqi Zhu, Jiajun Deng, Yu Zhang, Jianmin Ji, Houqiang Li, Yanyong Zhang
Publikováno v:
International Journal of Computer Vision.
In this survey, we first introduce the background of popular sensors used for self-driving, their data properties, and the corresponding object detection algorithms. Next, we discuss existing datasets that can be used for evaluating multi-modal 3D ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab618ed4757bec699c9e720a2f19afbe
https://doi.org/10.1007/s11263-023-01784-z
https://doi.org/10.1007/s11263-023-01784-z
Autor:
Yijiangcheng Li, Hongchao Chen, Xinhao Liang, Shanshan Wang, Hanqi Zhu, Mengwen Yan, Fuan Wu, Jun Wang, Sheng Sheng
Publikováno v:
Journal of Applied Entomology. 146:335-351
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6f526b3ee341548dd59b890d8744cab
https://doi.org/10.1111/jen.12962
https://doi.org/10.1111/jen.12962
Publikováno v:
IEEE ASME Trans Mechatron
This paper presents the design and validation of a backdrivable powered knee orthosis for partial assistance of lower-limb musculature, which aims to facilitate daily activities in individuals with musculoskeletal disorders. The actuator design is gu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22378adecd1595715be6a62ee28e8b1d
https://doi.org/10.1109/tmech.2021.3053226
https://doi.org/10.1109/tmech.2021.3053226
Publikováno v:
ICRA
IEEE Trans Robot
IEEE Trans Robot
In this article, we present the design of a powered knee–ankle prosthetic leg, which implements high-torque actuators with low-reduction transmissions. The transmission coupled with a high-torque and low-speed motor creates an actuator with low mec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecf841a33c3b7abba24eae478807de87
https://doi.org/10.1109/tro.2020.3005533
https://doi.org/10.1109/tro.2020.3005533
Publikováno v:
Polymer. 252:124944
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::decb53225d594cbb3b1177e12a4b91ae
https://doi.org/10.1016/j.polymer.2022.124944
https://doi.org/10.1016/j.polymer.2022.124944
Autor:
Ali K. Ibrahim, Hanqi Zhuang, Michelle Schärer-Umpierre, Caroline Woodward, Nurgun Erdol, Laurent M. Chérubin
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
In this paper, we present the first machine learning package developed specifically for fish calls identification within a specific range (0–500Hz) that encompasses four Caribbean grouper species: red hind (E. guttatus), Nassau (E. striatus), yello
Externí odkaz:
https://doaj.org/article/3e34b08e65674250b81e1e537b36e940
It has been well recognized that fusing the complementary information from depth-aware LiDAR point clouds and semantic-rich stereo images would benefit 3D object detection. Nevertheless, it is not trivial to explore the inherently unnatural interacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c53837dbfd69f24829aec5e67414952
