Zobrazeno 1 - 10
of 12 590
pro vyhledávání: '"Wenhan An"'
Autor:
Laigang Huang, Li Zhang, Dongmei Gao, Min Sun, Wenhan An, Qiangsan Sun, Fanshuo Zeng, Baojuan Cui
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Accurate prediction of the recovery of Disorders of Consciousness (DoC) is of paramount significance for clinicians and families. Serum total bilirubin (TBIL) formed by activation of heme oxygenase 2, is associated with incidence and prognos
Externí odkaz:
https://doaj.org/article/3ed27b5142d8422f9cb729c03f390d2d
Publikováno v:
BMC Sports Science, Medicine and Rehabilitation, Vol 16, Iss 1, Pp 1-9 (2024)
Abstract Background Fall prevention and balance control constitute critical components of rehabilitation for stroke survivors. Kneeling training, characterized by its low center of gravity focus, has been incorporated into rehabilitation regimens to
Externí odkaz:
https://doaj.org/article/89e1ef9b9f6e4916994a8d82207f6f71
Publikováno v:
Case Studies in Thermal Engineering, Vol 59, Iss , Pp 104516- (2024)
This study proposes a hybrid prediction model using sparrow search algorithm (SSA) to optimize the convolutional neural network (CNN) and support vector machine (SVM), in order to perform accurate prediction of secondary supply temperature (Ts2). The
Externí odkaz:
https://doaj.org/article/838a43a724324c4f91eb814cec05b151
Publikováno v:
Buildings, Vol 13, Iss 9, p 2340 (2023)
The accurate prediction of residential heat load is crucial for effective heating system design, energy management, and cost optimization. In order to further improve the prediction accuracy of the model, this study introduced principal component ana
Externí odkaz:
https://doaj.org/article/3d194c92bb384be8a415ff3d587dc7d1
Autor:
Liu, Xinyu, He, Yingqing, Guo, Lanqing, Li, Xiang, Jin, Bu, Li, Peng, Li, Yan, Chan, Chi-Min, Chen, Qifeng, Xue, Wei, Luo, Wenhan, Liu, Qingfeng, Guo, Yike
The potential for higher-resolution image generation using pretrained diffusion models is immense, yet these models often struggle with issues of object repetition and structural artifacts especially when scaling to 4K resolution and higher. We figur
Externí odkaz:
http://arxiv.org/abs/2409.02919
Despite recent advances in stereo matching, the extension to intricate underwater settings remains unexplored, primarily owing to: 1) the reduced visibility, low contrast, and other adverse effects of underwater images; 2) the difficulty in obtaining
Externí odkaz:
http://arxiv.org/abs/2409.01782
Face Anti-Spoofing (FAS) research is challenged by the cross-domain problem, where there is a domain gap between the training and testing data. While recent FAS works are mainly model-centric, focusing on developing domain generalization algorithms f
Externí odkaz:
http://arxiv.org/abs/2409.03501
One-shot voice conversion(VC) aims to change the timbre of any source speech to match that of the target speaker with only one speech sample. Existing style transfer-based VC methods relied on speech representation disentanglement and suffered from a
Externí odkaz:
http://arxiv.org/abs/2409.01668
Deep speech classification tasks, mainly including keyword spotting and speaker verification, play a crucial role in speech-based human-computer interaction. Recently, the security of these technologies has been demonstrated to be vulnerable to backd
Externí odkaz:
http://arxiv.org/abs/2408.15508
Obtaining pairs of low/normal-light videos, with motions, is more challenging than still images, which raises technical issues and poses the technical route of unpaired learning as a critical role. This paper makes endeavors in the direction of learn
Externí odkaz:
http://arxiv.org/abs/2408.12316