Zobrazeno 1 - 10
of 5 195
pro vyhledávání: '"Zhao, Juan"'
Detecting and quantifying causality is a focal topic in the fields of science, engineering, and interdisciplinary studies. However, causal studies on non-intervention systems attract much attention but remain extremely challenging. To address this ch
Externí odkaz:
http://arxiv.org/abs/2407.01621
Autor:
Zhang, Zhan, Zhang, Qin, Jiao, Yang, Lu, Lin, Ma, Lin, Liu, Aihua, Liu, Xiao, Zhao, Juan, Xue, Yajun, Wei, Bing, Zhang, Mingxia, Gao, Ru, Zhao, Hong, Lu, Jie, Li, Fan, Zhang, Yang, Wang, Yiming, Zhang, Lei, Tian, Fengwei, Hu, Jie, Gou, Xin
Publikováno v:
Artificaial Intelligence Review, (2024) 57:151
AI-aided clinical diagnosis is desired in medical care. Existing deep learning models lack explainability and mainly focus on image analysis. The recently developed Dynamic Uncertain Causality Graph (DUCG) approach is causality-driven, explainable, a
Externí odkaz:
http://arxiv.org/abs/2406.05746
Sequential recommender systems explore users' preferences and behavioral patterns from their historically generated data. Recently, researchers aim to improve sequential recommendation by utilizing massive user-generated multi-modal content, such as
Externí odkaz:
http://arxiv.org/abs/2404.17238
Autor:
Liu, Zhifen, Qiao, Dan, Xu, Yifan, Zhao, Wentao, Yang, Yang, Wen, Dan, Li, Xinrong, Nie, Xiaoping, Dong, Yongkang, Tang, Shiyou, Jiang, Yi, Wang, Ying, Zhao, Juan, Xu, Yong
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 5, p e26883 (2021)
BackgroundThe prevalence of depressive and anxiety symptoms in patients with COVID-19 is higher than usual. Previous studies have shown that there are drug-to-drug interactions between antiretroviral drugs and antidepressants. Therefore, an effective
Externí odkaz:
https://doaj.org/article/da896905ed664399b3a8d3099f23e6c5
This paper presents a partition-based surface registration for 3D morphable model(3DMM). In the 3DMM, it often requires to warp a handcrafted template model into different captured models. The proposed method first utilizes the landmarks to partition
Externí odkaz:
http://arxiv.org/abs/2401.02607
Vision algorithm-based robotic arm grasping system is one of the robotic arm systems that can be applied to a wide range of scenarios. It uses algorithms to automatically identify the location of the target and guide the robotic arm to grasp it, whic
Externí odkaz:
http://arxiv.org/abs/2309.03704
LiDAR systems that rely on classical signals are susceptible to intercept-and-recent spoofing attacks, where a target attempts to avoid detection. To address this vulnerability, we propose a quantum-secured LiDAR protocol that utilizes Gaussian modul
Externí odkaz:
http://arxiv.org/abs/2308.12171
Cellular traffic prediction is an indispensable part for intelligent telecommunication networks. Nevertheless, due to the frequent user mobility and complex network scheduling mechanisms, cellular traffic often inherits complicated spatial-temporal p
Externí odkaz:
http://arxiv.org/abs/2303.00498
Publikováno v:
Shipin Kexue, Vol 45, Iss 8, Pp 105-113 (2024)
Flammulina velutipes polysaccharides (FVP) have been reported to exhibit excellent anti-inflammatory and antioxidant effects. This study further investigated the efficacy and mechanism of action of FVP in alleviating vascular injury induced by benzo[
Externí odkaz:
https://doaj.org/article/61519d8e9ebd421e904cab3572fa1c82
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 06, Pp 733-738 (2024)
Background Myelosuppression is one of the most common adverse effects of chemotherapy for lung cancer, in response to chemotherapy-related myelosuppression, modern medicine mostly adopts symptomatic treatment, but there are many limitations. Objectiv
Externí odkaz:
https://doaj.org/article/19533988c81b4951b8fb077646df256c