Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Du Xiaoxiao"'
Autor:
Fan Kangli, Zhao Hongguang, Li Yinghua, Du Xiaoxiao, Dai Yuyin, Gao Lulu, Li Yi, Sun Zhihui, Zhang Ying
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
Externí odkaz:
https://doaj.org/article/4a4663608c7d487a8d7b0a6d55624c62
Autor:
Shao Shuai, Zhang Yu, Zhou Feng, Meng Xiaoxiang, Yu Zhenjun, Li Guantong, Zheng Lina, Zhang Kun, Li Yuhan, Guo Beichen, Liu Qi, Zhang Mengxia, Du Xiaoxiao, Hong Wei, Han Tao
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 1619-1629 (2022)
Acute liver injury is a common and serious syndrome caused by multiple factors and unclear pathogenesis. If the injury persists, liver injury can lead to cirrhosis and liver failure and ultimately results in the development of liver cancer. Emerging
Externí odkaz:
https://doaj.org/article/38a7fdb8de064d5f803b29c49a01ec2f
Autor:
Fan Kangli, Zhao Hongguang, Li Yinghua, Du Xiaoxiao, Dai Yuyin, Gao Lulu, Li Yi, Sun Zhihui, Zhang Ying
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
ObjectiveThis study aims to explore the difference between 11C-methyl-N-2β-carbomethoxy-3β-(4-fluorophenyl)-tropanel (11C-CFT) positron emission tomography (PET) imaging in the early-onset Parkinson’s disease (EOPD) and late-onset Parkinson’s d
Externí odkaz:
https://doaj.org/article/319a38020bb94d0393a2767bbdda8db4
Autor:
Sun Zhihui, Li Yinghua, Zhao Hongguang, Dai Yuyin, Du Xiaoxiao, Gao Lulu, Li Yi, Fan Kangli, Zhang Ying
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
ObjectiveEvaluation of the correlation between 18F-fluorodeoxyglucose-positron emission tomography (18F-FDG PET) and cognitive function in first-diagnosed and untreated Parkinson’s disease (PD) patients.Materials and methodThis cross-sectional stud
Externí odkaz:
https://doaj.org/article/9ebc9284aa1640f08914082cdff55632
Autor:
Vakharia, Hersh, Du, Xiaoxiao
Sensor fusion combines data from multiple sensor sources to improve reliability, robustness, and accuracy of data interpretation. The Fuzzy Integral (FI), in particular, the Choquet integral (ChI), is often used as a powerful nonlinear aggregator for
Externí odkaz:
http://arxiv.org/abs/2409.03212
This paper proposes MambaST, a plug-and-play cross-spectral spatial-temporal fusion pipeline for efficient pedestrian detection. Several challenges exist for pedestrian detection in autonomous driving applications. First, it is difficult to perform a
Externí odkaz:
http://arxiv.org/abs/2408.01037
Autor:
Vakharia, Hersh, Du, Xiaoxiao
Multi-modal sensor data fusion takes advantage of complementary or reinforcing information from each sensor and can boost overall performance in applications such as scene classification and target detection. This paper presents a new method for fusi
Externí odkaz:
http://arxiv.org/abs/2402.05045
Publikováno v:
MATEC Web of Conferences, Vol 175, p 03067 (2018)
Trimmed surfaces have been widely used in complicated product design in mechanical engineering especially in complex free form surface models of CAD/CAM/CAE. Focusing on the deficiencies of the algorithms available in published literatures when handl
Externí odkaz:
https://doaj.org/article/7002594e95ab4664b40ce72a508360ad
We present BiPOCO, a Bi-directional trajectory predictor with POse COnstraints, for detecting anomalous activities of pedestrians in videos. In contrast to prior work based on feature reconstruction, our work identifies pedestrian anomalous events by
Externí odkaz:
http://arxiv.org/abs/2207.02281
Video anomaly detection is a core problem in vision. Correctly detecting and identifying anomalous behaviors in pedestrians from video data will enable safety-critical applications such as surveillance, activity monitoring, and human-robot interactio
Externí odkaz:
http://arxiv.org/abs/2207.02279