Zobrazeno 1 - 10
of 834
pro vyhledávání: '"Zhang, Yiyun"'
Existing Building Damage Detection (BDD) methods always require labour-intensive pixel-level annotations of buildings and their conditions, hence largely limiting their applications. In this paper, we investigate a challenging yet practical scenario
Externí odkaz:
http://arxiv.org/abs/2312.01576
Autor:
Pan, Chenxinyu, Tong, Yuanbiao, Qian, Haoliang, Krasavin, Alexey V., Li, Jialin, Zhu, Jiajie, Zhang, Yiyun, Cui, Bowen, Li, Zhiyong, Wu, Chenming, Wang, Zhenxin, Liu, Lufang, Li, Linjun, Guo, Xin, Zayats, Anatoly V., Tong, Limin, Wang, Pan
Publikováno v:
Nature Commun. 15 (2024) 2840-2849
Two-dimensional single-crystal metals are highly sought after for next-generation technologies. Here, we report large-area (>10^4 {\mu}m2), single-crystal two-dimensional gold with thicknesses down to a single-nanometer level, employing an atomic-lev
Externí odkaz:
http://arxiv.org/abs/2311.07858
Publikováno v:
Mental Health Review Journal, 2024, Vol. 29, Issue 2, pp. 185-199.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MHRJ-07-2023-0038
Publikováno v:
Shipin Kexue, Vol 44, Iss 24, Pp 171-178 (2023)
The effects of soymilk fermented with single and mixed (1:1:1) cultures of three strains of lactic acid bacteria (LAB) isolated from sourdough from Fuchun Teahouse in Yangzhou City on the fermentation characteristics of dough and the quality of steam
Externí odkaz:
https://doaj.org/article/494dff7093bc4fe89ebd48f5b1ad0350
Publikováno v:
In Trends in Food Science & Technology August 2024 150
Publikováno v:
In Biocybernetics and Biomedical Engineering July-September 2024 44(3):470-480
With the rapid development of intelligent detection algorithms based on deep learning, much progress has been made in automatic road defect recognition and road marking parsing. This can effectively address the issue of an expensive and time-consumin
Externí odkaz:
http://arxiv.org/abs/2109.03385
Autor:
Zhang, Yiyun,S. M.Massachusetts Institute of Technology. Department of Aeronautics and Astronautics.
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 85-87).
Small power devices are of strong
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 85-87).
Small power devices are of strong
Externí odkaz:
https://hdl.handle.net/1721.1/127118
Autor:
Sun, Feng, Kumar V, Ajith, Yang, Guanci, Zhu, Qikui, Zhang, Yiyun, Zhang, Ansi, Makwana, Dhruv
Graph Convolutional Networks (GCNs) are widely used in many applications yet still need large amounts of labelled data for training. Besides, the adjacency matrix of GCNs is stable, which makes the data processing strategy cannot efficiently adjust t
Externí odkaz:
http://arxiv.org/abs/2108.07481
Publikováno v:
In Fuel 15 May 2024 364