Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Rongchen Ma"'
Publikováno v:
Electronics Letters, Vol 59, Iss 19, Pp n/a-n/a (2023)
Abstract Deep convolutional neural networks have become a popular tool for the automatic detection of pavement cracks. Despite their widespread use, the models currently available tend to emphasize pixel‐level classification accuracy for cracks, of
Externí odkaz:
https://doaj.org/article/f7f61631652243e3b7ffa51d32570379
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 227-240 (2020)
Geometry and texture noise make it difficult to accurately describe road image rules, which leads to the low degree of automation of traditional template matching algorithms based on internal texture homogenization. We propose a semi-automatic road e
Externí odkaz:
https://doaj.org/article/3ce00f73846745e3ab90c3ff1545276e
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1417 (2021)
Road extraction in rural areas is one of the most fundamental tasks in the practical application of remote sensing. In recent years, sample-driven methods have achieved state-of-the-art performance in road extraction tasks. However, sample-driven met
Externí odkaz:
https://doaj.org/article/3f292bc91ed94beb853162d033b0cd3b
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Roads play a vital role in rural economic development. However, rural roads feature irregular curvature changes, are narrow, and are built using diverse construction materials, which renders the analysis of road geometric and spectral characteristics
Publikováno v:
Remote Sensing, Vol 11, Iss 22, p 2672 (2019)
High-quality updates of road information play an important role in smart city planning, sustainable urban expansion, vehicle management, urban planning, traffic navigation, public health and other fields. However, due to interference from road geomet
Externí odkaz:
https://doaj.org/article/cd0b6d8a71134b8690a5ac6634674cce
Autor:
Dan Deng, Zeyu Wang, Xiaoqin Zou, Rongchen Ma, Ye Yuan, Zhangnan Li, Yajie Yang, Qinghao Meng, Ning Zhang, Guangshan Zhu
Publikováno v:
ACS Applied Materials & Interfaces. 12:47966-47974
To achieve a rapid asymmetry conversion, the substrate objects suffer from accelerated kinetic velocity and random rotation at the cost of selectivity. Inspired by natural enzymes, optimizing the host-guest configuration will realize the high-perform
Autor:
Xiaoqin Zou, Xianghui Ruan, Xujiao Ma, Haoyan Sha, Zhikun Wang, Ye Yuan, Guangshan Zhu, Yajie Yang, Qinghao Meng, Rongchen Ma, Zeyu Wang
Publikováno v:
Chem. 6:1683-1691
Summary Uranium extraction from seawater is a major barrier for the development of nuclear power to cope with the energy and climate-change crises. Here, we report the integration of conductive chains into porous adsorbents, which provide the expende
Autor:
Guangshan Zhu, Xin Ge, Ye Yuan, Xujiao Ma, Yunfeng Zhang, Xiaoqin Zou, Yajie Yang, Rongchen Ma, Wei Zhang, Shoujun Zhu
Publikováno v:
Chemical Science
Despite their remarkable mechanical, optical, and electrical properties, inorganic particles and dynamic polymer assemblies encounter difficulties in their compatibility with regards to structural order and complexity. Here, covalent organic framewor
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 227-240 (2020)
Geometry and texture noise make it difficult to accurately describe road image rules, which leads to the low degree of automation of traditional template matching algorithms based on internal texture homogenization. We propose a semi-automatic road e
Autor:
Yajie Yang, Xujiao Ma, Qinghao Meng, Ye Yuan, Xianghui Ruan, Zeyu Wang, Rongchen Ma, Guangshan Zhu
Publikováno v:
Journal of the American Chemical Society. 143(36)
High-speed capturing of uranyl (UO22+) ions from seawater elicits unprecedented interest for the sustainable development of the nuclear energy industry. However, the ultralow concentration (∼3.3 μg L-1) of uranium element leads to the slow ion dif