Zobrazeno 1 - 10
of 993
pro vyhledávání: '"Le Wu"'
Autor:
Hailong Zheng, Linfu Xu, Hailong Xie, Jiajing Xie, Yapeng Ma, Yongfei Hu, Le Wu, Jia Chen, Meiyi Wang, Ying Yi, Yan Huang, Dong Wang
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1469-1476 (2024)
RNA plays an extensive role in a multi-dimensional regulatory system, and its biomedical relationships are scattered across numerous biological studies. However, text mining works dedicated to the extraction of RNA biomedical relations remain limited
Externí odkaz:
https://doaj.org/article/2a0e7611c51a465dbd8834bf14080a4f
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Femoral neck system (FNS) has exhibited some drawbacks, such as non-fit of the plate with the lateral femoral cortex, postoperative pain, and the potential risk of subtrochanteric fractures. We have developed a low-profile FNS sys
Externí odkaz:
https://doaj.org/article/65442a34db904e15b563af3d5adf807d
Publikováno v:
Medicine in Novel Technology and Devices, Vol 22, Iss , Pp 100308- (2024)
Hand gesture recognition (HGR) plays a vital role in human-computer interaction. The integration of high-density surface electromyography (HD-sEMG) and deep neural networks (DNNs) has significantly improved the robustness and accuracy of HGR systems.
Externí odkaz:
https://doaj.org/article/e307029c33ed4b1baf8b6e52642731df
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2114-2123 (2024)
Steady-state visual evoked potential (SSVEP) is one of the most used brain-computer interface (BCI) paradigms. Conventional methods analyze SSVEPs at a fixed window length. Compared with these methods, dynamic window methods can achieve a higher info
Externí odkaz:
https://doaj.org/article/043df314e38f46a7aa52da8b527a129f
Publikováno v:
IEEE Access, Vol 12, Pp 70170-70183 (2024)
Under the variable speed condition, the rolling bearing vibration signal shows non-smooth characteristics such as frequency modulation and amplitude modulation, which makes it difficult to effectively extract the fault characteristics by relying on t
Externí odkaz:
https://doaj.org/article/eca47aba287e4a31bf2af7c965bc6393
Publikováno v:
AI Open, Vol 5, Iss , Pp 70-78 (2024)
Recently, researchers have argued that the impressive performance of Natural Language Inference (NLI) models is highly due to the spurious correlations existing in training data, which makes models vulnerable and poorly generalized. Some work has mad
Externí odkaz:
https://doaj.org/article/f9bedbe8aa6244498a31981c76d79b16
Publikováno v:
IEEE Access, Vol 12, Pp 19598-19611 (2024)
In the field of health management, predicting the remaining useful life (RUL) of a device becomes critical. However, the RUL prediction process is often affected by a various of confounding factors, resulting in reduced prediction accuracy. To improv
Externí odkaz:
https://doaj.org/article/d2051d0752384c3aaccfe79817333560
Autor:
Jiao Han, Huili Gong, Lin Guo, Xiaojuan Li, Lin Zhu, Beibei Chen, Qingquan Zhang, Le Wu, Jinyu Lei, Xueqi Zhu
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 50, Iss , Pp 101531- (2023)
Study region: Beijing-Tianjin-Hebei (BTH) region, China Study focus: BTH has long been suffering from severe and uneven land subsidence. Finding out the spatial evolution of land subsidence is helpful to collaborative prevention and control. We innov
Externí odkaz:
https://doaj.org/article/15a20649f041433bb96e5f662d9d4a7a
Autor:
Xuemei Deng, Le Wu
Publikováno v:
Chemical Engineering Transactions, Vol 103 (2023)
With the rapid growth of population and urbanization, the amount of municipal solid waste (MSW) generated in China has increased significantly. However, existing MSW treatment methods are costly. To further reduce the treatment costs, a poly-generati
Externí odkaz:
https://doaj.org/article/84706f32d654448b9ffb7df7e6c4190a
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 4661-4671 (2023)
Hand gesture recognition (HGR) based on surface electromyogram (sEMG) and Accelerometer (ACC) signals is increasingly attractive where fusion strategies are crucial for performance and remain challenging. Currently, neural network-based fusion method
Externí odkaz:
https://doaj.org/article/a91095580e2e4ada89c9b8f0e64a9e7a