Zobrazeno 1 - 10
of 3 084
pro vyhledávání: '"WANG, Xiaoqin"'
Autor:
Zhai, Wei, Bai, Nan, Zhao, Qing, Li, Jianqiang, Wang, Fan, Qi, Hongzhi, Jiang, Meng, Wang, Xiaoqin, Yang, Bing Xiang, Fu, Guanghui
As the prevalence of mental health challenges, social media has emerged as a key platform for individuals to express their emotions.Deep learning tends to be a promising solution for analyzing mental health on social media. However, black box models
Externí odkaz:
http://arxiv.org/abs/2410.10323
Autor:
Jiang, Meng, Yu, Yi Jing, Zhao, Qing, Li, Jianqiang, Song, Changwei, Qi, Hongzhi, Zhai, Wei, Luo, Dan, Wang, Xiaoqin, Fu, Guanghui, Yang, Bing Xiang
Cognitive Behavioral Therapy (CBT) is an effective technique for addressing the irrational thoughts stemming from mental illnesses, but it necessitates precise identification of cognitive pathways to be successfully implemented in patient care. In cu
Externí odkaz:
http://arxiv.org/abs/2404.11449
Autor:
Dogba, Maman Joyce, Brent, Michael H, Bach, Catherine, Asad, Sarah, Grimshaw, Jeremy, Ivers, Noah, Légaré, France, Witteman, Holly O, Squires, Janet, Wang, Xiaoqin, Sutakovic, Olivera, Zettl, Mary, Drescher, Olivia, van Allen, Zack, McCleary, Nicola, Tremblay, Marie-Claude, Linklater, Stefanie, Presseau, Justin
Publikováno v:
JMIR Research Protocols, Vol 9, Iss 2, p e15109 (2020)
BackgroundImmigrants to Canada belonging to ethnocultural minority groups are at increased risk of developing diabetes and complications, including diabetic retinopathy, and they are also less likely to be screened and treated. Improved attendance to
Externí odkaz:
https://doaj.org/article/61da0eb428024deca1ed22a8c088f61a
Publikováno v:
Kouqiang yixue, Vol 44, Iss 9, Pp 658-662 (2024)
Objective To apply cone beam CT measurements(CBCT)to analyze the effect of skeletal Class Ⅲ high angle with deviation on upper airway morphology and hyoid position. Methods A total of 120 patients with skeletal Class Ⅲ high angle malocclusion who
Externí odkaz:
https://doaj.org/article/f268d9dfb70544eeb832b607b72fdfc5
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp 99-103 (2024)
Diabetic kidney disease (DKD) is one of the main microvascular complications of diabetes mellitus, as well as the leading cause of end-stage renal disease. Intestinal microbiota has emerged as a crucial regulator of its occurrence and development. Dy
Externí odkaz:
https://doaj.org/article/c2def6a0185b4f569b6a1f39deeb535b
Publikováno v:
Open Medicine, Vol 19, Iss 1, Pp k499-84 (2024)
The aim of this study was to investigate the significance of colposcopy in diagnosing cervical lesions when negative cervical cytology is combined with positive human papillomavirus (HPV).
Externí odkaz:
https://doaj.org/article/8c20a548947a45b49a4a6bbbd7f0ee23
Publikováno v:
Shuitu Baochi Xuebao, Vol 38, Iss 2, Pp 216-233 (2024)
[Objective] Simulating the change of runoff and sediment changes in the watershed under the influence of land use and climate in the future is conducive to making suitable management plans. [Methods] Based on land use and meteorological data, combine
Externí odkaz:
https://doaj.org/article/56c0b5ab93ce4f8a8628e6665145859f
Autor:
Wang, Xiaoqin, Chen, Chen, Lan, Rushi, Liu, Licheng, Liu, Zhenbing, Zhou, Huiyu, Luo, Xiaonan
Unsupervised hashing has attracted much attention for binary representation learning due to the requirement of economical storage and efficiency of binary codes. It aims to encode high-dimensional features in the Hamming space with similarity preserv
Externí odkaz:
http://arxiv.org/abs/2208.14883
Various defense models have been proposed to resist adversarial attack algorithms, but existing adversarial robustness evaluation methods always overestimate the adversarial robustness of these models (i.e., not approaching the lower bound of robustn
Externí odkaz:
http://arxiv.org/abs/2205.02743
Deep neural networks are widely used in various fields because of their powerful performance. However, recent studies have shown that deep learning models are vulnerable to adversarial attacks, i.e., adding a slight perturbation to the input will mak
Externí odkaz:
http://arxiv.org/abs/2205.02741