Zobrazeno 1 - 10
of 2 644
pro vyhledávání: '"YU Chuang"'
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 10, Pp 80-89 (2024)
The effects of Cr on the microstructure of as-cast Al-Cu-Mg-Ag alloys and the distribution， size and number density of dispersoids after double-stage homogenization were investigated by OM， XRD， SEM-EDS and TEM methods. The effects of Cr on the
Externí odkaz:
https://doaj.org/article/db617de812c54e1fba3c23841236b281
Publikováno v:
Cailiao gongcheng, Vol 50, Iss 10, Pp 38-54 (2022)
To meet the requirements of high energy density and fast charge for energy storage systems and electric vehicles, the high-energy and high-power density lithium-ion batteries have attracted numerous attentions.Designing thick-electrode can significan
Externí odkaz:
https://doaj.org/article/5ac9dca52384476684bd9447feb7c8c0
Publikováno v:
Rock and Soil Mechanics, Vol 43, Iss 9, Pp 2421-2430 (2022)
Silicate cement as a conventional soil curing agent has problems of high energy consumption and high emissions, and researchers have been seeking a more economical and environmentally friendly alternative to cement. In this study, geopolymers based o
Externí odkaz:
https://doaj.org/article/8bd17bba7ab047b59d60530dcb5ac40a
Autor:
Gu, Xingrui, Jiang, Chuyi, Wang, Erte, Wu, Zekun, Cui, Qiang, Tian, Leimin, Wu, Lianlong, Song, Siyang, Yu, Chuang
Constrained by the lack of model interpretability and a deep understanding of human movement in traditional movement recognition machine learning methods, this study introduces a novel representation learning method based on causal inference to bette
Externí odkaz:
http://arxiv.org/abs/2409.15564
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 33, Iss 03, Pp 383-391 (2021)
As the incidence of global food allergies increases year-by-year, food allergic diseases have become a growing concern in food safety and public health issue circles. In this paper, the characteristics of food allergens, allergenicity mechanism, clin
Externí odkaz:
https://doaj.org/article/d98a40d65f9a43408e2f3eeda2d5515c
Limited by equipment limitations and the lack of target intrinsic features, existing infrared small target detection methods have difficulty meeting actual comprehensive performance requirements. Therefore, we propose an innovative lightweight and ro
Externí odkaz:
http://arxiv.org/abs/2408.02780
Recently, infrared small target detection with single-point supervision has attracted extensive attention. However, the detection accuracy of existing methods has difficulty meeting actual needs. Therefore, we propose an innovative refined infrared s
Externí odkaz:
http://arxiv.org/abs/2408.02773
Recently, deep learning-based single-frame infrared small target (SIRST) detection technology has made significant progress. However, existing infrared small target detection methods are often optimized for a fixed image resolution, a single waveleng
Externí odkaz:
http://arxiv.org/abs/2407.20090
Infrared small target detection faces the problem that it is difficult to effectively separate the background and the target. Existing deep learning-based methods focus on appearance features and ignore high-frequency directional features. Therefore,
Externí odkaz:
http://arxiv.org/abs/2406.02037
Recently, feature relation learning has drawn widespread attention in cross-spectral image patch matching. However, existing related research focuses on extracting diverse relations between image patch features and ignores sufficient intrinsic featur
Externí odkaz:
http://arxiv.org/abs/2403.11751