Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Xuxin Lin"'
Autor:
Xueshen Qian, Xuxin Lin, Weiqiang Hu, Lu Zhang, Wenqian Chen, Shuang Zhang, Song Ge, Xiongcheng Xu, Kai Luo
Publikováno v:
Journal of Neuroinflammation, Vol 21, Iss 1, Pp 1-16 (2024)
Abstract Periodontitis exacerbates Alzheimer’s disease (AD) through multiple pathways. Both periodontitis and AD are intricately correlated to intestinal homeostasis, yet there is still a lack of direct evidence regarding whether periodontitis can
Externí odkaz:
https://doaj.org/article/43323410bec449f09df3b713d7333ff1
Publikováno v:
PeerJ, Vol 12, p e18083 (2024)
Purpose A systematic review and meta-analysis for incidence and risk factors of new-onset sacroiliac joint pain (SIJP) after spinal surgery aimed to provide evidence-based medical references for its early prevention, timely intervention, and appropri
Externí odkaz:
https://doaj.org/article/527dfb35cc4f4fcda6b08ab955b500d7
Autor:
Xuxin Lin, Yanyan Liang
Publikováno v:
Mathematics, Vol 11, Iss 19, p 4026 (2023)
In facial landmark localization, facial region initialization usually plays an important role in guiding the model to learn critical face features. Most facial landmark detectors assume a well-cropped face as input and may underperform in real applic
Externí odkaz:
https://doaj.org/article/53a07f3dd6c04d228d99340aa1913676
Publikováno v:
Sensors, Vol 23, Iss 14, p 6320 (2023)
Indoor localization and navigation have become an increasingly important problem in both industry and academia with the widespread use of mobile smart devices and the development of network techniques. The Wi-Fi-based technology shows great potential
Externí odkaz:
https://doaj.org/article/32c3f624306d4b9c8f82a143fc0d3b19
Publikováno v:
Sensors, Vol 23, Iss 3, p 1532 (2023)
Face alignment is widely used in high-level face analysis applications, such as human activity recognition and human–computer interaction. However, most existing models involve a large number of parameters and are computationally inefficient in pra
Externí odkaz:
https://doaj.org/article/045416264da14762b159e4643334f52f
Autor:
Xuxin Lin, Zhenwei Zhu, Xiaoyuan Yu, Xiaoyu Ji, Tao Luo, Xiangyu Xi, Menghua Zhu, Yanyan Liang
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 621 (2022)
Impact cratering process is the major geologic activity on the surface of the Moon, and the spatial distribution and size-frequency distribution of lunar craters are indicative to the bombardment history of the Solar System. The substantial efforts o
Externí odkaz:
https://doaj.org/article/f71bdc615cc34361b7fd2172ea6d84d2
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:9654-9664
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7600fdeb2802f3975e8dc1fc3bf5720
https://doi.org/10.1109/tits.2022.3178848
https://doi.org/10.1109/tits.2022.3178848
Publikováno v:
IEEE Transactions on Multimedia. 21:3053-3067
The recent studies for face alignment have involved developing an isolated algorithm on well-cropped face images. It is difficult to obtain the expected input by using an off-the-shelf face detector in practical applications. In this paper, we attemp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c8dd319dcf9d6155adcfbba45863be8
https://doi.org/10.1109/tmm.2019.2916455
https://doi.org/10.1109/tmm.2019.2916455
Publikováno v:
Medicine
Background: A large number of randomized controlled trials (RCTs) have shown that traditional Chinese exercises (TCE) have certain advantages in the treatment of lumbar disc herniation (LDH). However, due to the diversity of TCE methods, their relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f901259e98a881b37c2d062a3f73c78
https://pubmed.ncbi.nlm.nih.gov/32000379
https://pubmed.ncbi.nlm.nih.gov/32000379
Publikováno v:
Machine Vision and Applications. 30:889-900
In this paper, we present a novel refined fused model combining masked Res-C3D network and skeleton LSTM for abnormal gesture recognition in RGB-D videos. The key to our design is to learn discriminative representations of gesture sequences in partic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bb397ffc62fc5f478e90985444a3756
https://doi.org/10.1007/s00138-018-0969-0
https://doi.org/10.1007/s00138-018-0969-0