Zobrazeno 1 - 10
of 876
pro vyhledávání: '"Yu Xiaohan"'
Publikováno v:
Frigid Zone Medicine, Vol 4, Iss 3, Pp 177-192 (2024)
Cataracts are the leading cause of reversible blindness worldwide. Diabetic cataract (DC), a prevalent complication of diabetes mellitus, is characterized by its high occurrence, rapid progression, and severe impact. The prevalence of diabetes varies
Externí odkaz:
https://doaj.org/article/5124bdaa42ab4c8d8f4dbe6d4622bf4b
Autor:
Hui Mengyu, Shi Jinglin, Yu Xiaohan, Li Jian, Zhang Yan, Tang Zhengli, Yu Shanghai, Gao Yue, Liu Ping, Zhang Hua
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 10, Pp 1542-1550 (2024)
AIM:To explore the fundus vascular characteristics of healthy individuals based on deep learning techniques, with a view to discovering the range of normal values of the fundus arteries and veins, as well as the relationship between physiological fac
Externí odkaz:
https://doaj.org/article/6d206c3ed4e34605803a90f811c652f4
Publikováno v:
Zhejiang dianli, Vol 43, Iss 5, Pp 1-9 (2024)
Virtual power plants （VPPs） represent a tangible implementation in the construction of modern power systems. Addressing the current challenges of limited applicable technical standards and a lag in the development of a standardized system for VPP
Externí odkaz:
https://doaj.org/article/bc4e33beaee8404695f813ea39aef888
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 45, Iss 5, Pp 129-136 (2023)
In the process of the battle between the enemy and us on the battlefield, accurately predicting the deployment of the enemy forces will be beneficial to our combat. Based on the situation data of wargame, this paper proposes a method for predicting t
Externí odkaz:
https://doaj.org/article/4b85ca99be3841a3b8a3280ce085bd45
Autor:
Sysoeva Olga Alekseevna, Yu Xiaohan
Publikováno v:
Studia Humanitatis, Vol 3 (2023)
The article studies the initial stage of a Chinese reader acquaintance with Ivan Bunin’s creativity. The translation features of his texts into Chinese and the publication circumstances of the first writer’s stories are revealed. The biography of
Externí odkaz:
https://doaj.org/article/1d88a6b486e84b218f5dc9b61bcca5d0
The scarcity of labelled data is specifically an urgent challenge in the field of quantum machine learning (QML). Two transfer fusion frameworks are proposed in this paper to predict the labels of a target domain data by aligning its distribution to
Externí odkaz:
http://arxiv.org/abs/2411.01822
The development of person search techniques has been greatly promoted in recent years for its superior practicality and challenging goals. Despite their significant progress, existing person search models still lack the ability to continually learn f
Externí odkaz:
http://arxiv.org/abs/2410.19239
Equipping humanoid robots with the capability to understand emotional states of human interactants and express emotions appropriately according to situations is essential for affective human-robot interaction. However, enabling current vision-aware m
Externí odkaz:
http://arxiv.org/abs/2410.18373
Publikováno v:
He jishu, Vol 46, Iss 3, Pp 030604-030604 (2023)
BackgroundCore fuel salt emergency drain system designed for fuel salt drain and afterheat removal, provides a safe shutdown mode for a molten salt reactor (MSR). It has important significance to evaluate reliability of the system for the safety of M
Externí odkaz:
https://doaj.org/article/6f76517c87f94a3f942ff2054d2dcc4a
Source-free domain adaptation (SFDA) aims to transfer knowledge from a labelled source domain to an unlabelled target domain. A major challenge in SFDA is deriving accurate categorical information for the target domain, especially when sample embeddi
Externí odkaz:
http://arxiv.org/abs/2407.16189