Zobrazeno 1 - 10
of 249
pro vyhledávání: '"Xiong Tan"'
Publikováno v:
IEEE Access, Vol 12, Pp 70278-70288 (2024)
With the increasing aging of the population, exoskeleton robots, gait assistance in the medical field, and condition monitoring in the rehabilitation field have been widely concerned by scholars. Accurate recognition of human gait and the perception
Externí odkaz:
https://doaj.org/article/53f9460f2fc340999ca2c213a9b8c3bf
Autor:
Yong Liu, Liang Wang, Dongyun Lei, Xiong Tan, Weitao Jin, Ming Hou, Kai Hu, Yu Yan, Hao Wang, Chaohu Xiang, Yinglong Lai
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0304668 (2024)
Aortic aneurysms (AA) and aorta dissection (AD) are life-threatening conditions with a rising incidence and high mortality rate. Recent research has linked non-coding RNAs to the regulation of AA and AD progression. In this study, we performed circRN
Externí odkaz:
https://doaj.org/article/08f199b6d43c47b7a66e4fe8dd1dc0e0
Autor:
Wenqiang Sun, Mengze Li, Hanjun Ren, Yang Chen, Wei Zeng, Xiong Tan, Xianbo Jia, Shiyi Chen, Jie Wang, Songjia Lai
Publikováno v:
Animals, Vol 14, Iss 7, p 1045 (2024)
Non-esterified fatty acids (NEFAs) are pivotal in energy metabolism, yet high concentrations can lead to ketosis, a common metabolic disorder in cattle. Our laboratory observed lower levels of L-histidine in cattle suffering from ketosis, indicating
Externí odkaz:
https://doaj.org/article/f408a2c8b4d947929e9c65d99a56e0f8
Publikováno v:
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 103-114 (2022)
In recent years, the wide use of deep learning based methods has greatly improved the classification performance of hyperspectral image (HSI). As an effective method to improve the performance of deep convolution networks, attention mechanism is also
Externí odkaz:
https://doaj.org/article/4a73b3769f4946338d5aaebf0a160ae3
Autor:
Xiong Tan, Zhixiang Xue
Publikováno v:
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 409-419 (2022)
This paper proposes a novel spectral-spatial multi-layer perceptron network for hyperspectral image land cover classification. Current deep learning-based methods have limitations in spectral and spatial feature representation of hyperspectral images
Externí odkaz:
https://doaj.org/article/7c42701f409c40798264e0b960a268d3
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 79-91 (2022)
Abstract To address the existing problems of capsule networks in deep feature extraction and spatial‐spectral feature fusion of hyperspectral images, this paper proposes a hyperspectral image classification method that combines a deep residual 3D c
Externí odkaz:
https://doaj.org/article/687af8a2b08a412c9b3f489a633e620c
Autor:
Bei Qin, Lili Yu, Rong Wang, Yimei Tang, Yunmei Chen, Nana Wang, Yixin Zhang, Xiong Tan, Kuan Yang, Bo Zhang, Maofang He, Yuzhen Zhang, Yaqi Hu
Publikováno v:
Molecules, Vol 28, Iss 13, p 4975 (2023)
Hypertension is the main risk factor of cardiovascular and cerebrovascular diseases. In this paper, a novel compound known as 221s (2,9), which includes tanshinol, borneol and a mother nucleus of ACEI, was synthesized by condensation esterification,
Externí odkaz:
https://doaj.org/article/c0fa5bed114143dbaa9d52b8e68cba42
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3566-3580 (2021)
This article proposes a novel hierarchical residual network with attention mechanism (HResNetAM) for hyperspectral image (HSI) spectral-spatial classification to improve the performance of conventional deep learning networks. The straightforward conv
Externí odkaz:
https://doaj.org/article/b7bf41704a3f40ecae1cdd9053f68451
Autor:
Jie Chen, Guo-zuo Xiong, Xiong Tan, Fei Wu, Dong-yang Luo, Qing-qing Zou, Zhihe Deng, Guo-shan Bi
Publikováno v:
Frontiers in Pediatrics, Vol 10 (2022)
Duodenal duplication is a rare congenital anomaly and may manifest as pancreatitis, gastrointestinal bleeding, abdominal pain, perforation, and obstruction. Here, we present a case of intraluminal diverticular duodenal duplication (IDDD) in a child w
Externí odkaz:
https://doaj.org/article/26067edc13d74ea19c24ad3d646b68f1
Publikováno v:
European Journal of Remote Sensing, Vol 53, Iss 1, Pp 349-357 (2020)
In recent years, deep learning has drawn increasing attention in the field of hyperspectral remote sensing image classification and has achieved great success. However, the traditional convolutional neural network model has a huge parameter space, in
Externí odkaz:
https://doaj.org/article/4bc11f48bcef41ccb21dc791ff722823