Zobrazeno 1 - 10
of 3 388
pro vyhledávání: '"Hu, Dong"'
Autonomous driving (AD) technology, leveraging artificial intelligence, strives for vehicle automation. End-toend strategies, emerging to simplify traditional driving systems by integrating perception, decision-making, and control, offer new avenues
Externí odkaz:
http://arxiv.org/abs/2402.12666
Autor:
Haozhou Li, Pan Liu, Hu Dong, Aldo Dekker, Michiel M. Harmsen, Huichen Guo, Xiangxi Wang, Shiqi Sun
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Unlike most other picornaviruses, foot-and-mouth disease (FMD) intact virions (146S) dissociate easily into small pentameric subunits (12S). This causes a dramatically decreased immunogenicity by a mechanism that remains elusive. Here, we pr
Externí odkaz:
https://doaj.org/article/e550e8eba349473b80436111dddd8b18
Due to the high flexibility and remarkable performance, low-rank approximation methods has been widely studied for color image denoising. However, those methods mostly ignore either the cross-channel difference or the spatial variation of noise, whic
Externí odkaz:
http://arxiv.org/abs/2307.07932
Publikováno v:
Hangkong bingqi, Vol 31, Iss 3, Pp 88-93 (2024)
Amplitude error of each antenna in three-element array is an important factor affecting the angle simulation precision, which is a key index in radio frequency simulation system (RFSS). Analyzing the relationship between angle simulation error and am
Externí odkaz:
https://doaj.org/article/aaa408a090194e8682d985a321e87591
Publikováno v:
Phys. Rev. Research. 5. L032031 (2023)
Non-Gaussian states (NGSs) with higher-order correlation properties have wide-range applications in quantum information processing. However, the generation of such states with high quality still faces practical challenges. Here, we propose a protocol
Externí odkaz:
http://arxiv.org/abs/2211.00976
Color image denoising is frequently encountered in various image processing and computer vision tasks. One traditional strategy is to convert the RGB image to a less correlated color space and denoise each channel of the new space separately. However
Externí odkaz:
http://arxiv.org/abs/2209.08094
Publikováno v:
You-qi chuyun, Vol 43, Iss 4, Pp 404-411 (2024)
[Objective] High-frequency acoustic energy generated by gas passing through decompression devices induces high-order modes of the pipeline wall, leading to acoustic-induced vibrations of the pipeline structure. These vibrations can potentially trigge
Externí odkaz:
https://doaj.org/article/b7c6c0d7f7aa4fb3a599e4fa9f9f90d1
Publikováno v:
Journal of Health, Population and Nutrition, Vol 43, Iss 1, Pp 1-8 (2024)
Abstract Objective Although some studies have linked smoking to mortality after out-of-hospital cardiac arrests (OHCAs), data regarding smoking and mortality after OHCAs have not yet been discussed in a meta-analysis. Thus, this study conducted this
Externí odkaz:
https://doaj.org/article/6d1fc3d94a0f43bd8b519576e601aec6
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Autor:
Han, Chu, Pan, Xipeng, Yan, Lixu, Lin, Huan, Li, Bingbing, Yao, Su, Lv, Shanshan, Shi, Zhenwei, Mai, Jinhai, Lin, Jiatai, Zhao, Bingchao, Xu, Zeyan, Wang, Zhizhen, Wang, Yumeng, Zhang, Yuan, Wang, Huihui, Zhu, Chao, Lin, Chunhui, Mao, Lijian, Wu, Min, Duan, Luwen, Zhu, Jingsong, Hu, Dong, Fang, Zijie, Chen, Yang, Zhang, Yongbing, Li, Yi, Zou, Yiwen, Yu, Yiduo, Li, Xiaomeng, Li, Haiming, Cui, Yanfen, Han, Guoqiang, Xu, Yan, Xu, Jun, Yang, Huihua, Li, Chunming, Liu, Zhenbing, Lu, Cheng, Chen, Xin, Liang, Changhong, Zhang, Qingling, Liu, Zaiyi
Lung cancer is the leading cause of cancer death worldwide, and adenocarcinoma (LUAD) is the most common subtype. Exploiting the potential value of the histopathology images can promote precision medicine in oncology. Tissue segmentation is the basic
Externí odkaz:
http://arxiv.org/abs/2204.06455
Nuclear segmentation, classification and quantification within Haematoxylin & Eosin stained histology images enables the extraction of interpretable cell-based features that can be used in downstream explainable models in computational pathology (CPa
Externí odkaz:
http://arxiv.org/abs/2203.00262