Zobrazeno 1 - 10
of 645
pro vyhledávání: '"LI Yueyang"'
Autor:
Li Yueyang, Tong Tong, Li Peifan, Peng Yian, Zhang Michael, Liu Jia, She Yongxin, Li Zuming, Li Yongli
Publikováno v:
Polish Journal of Microbiology, Vol 72, Iss 3, Pp 285-297 (2023)
The study aimed to isolate Lactobacillaceae strains with in vitro hypoglycemic activity and probiotic properties and to determine their antidiabetic abilities in vivo. Lactiplantibacillus plantarum 22, L. plantarum 25, Limosilactobacillus fermentum 1
Externí odkaz:
https://doaj.org/article/8e652e3a81574760940f1ef2b05ee543
Publikováno v:
Open Mathematics, Vol 20, Iss 1, Pp 431-446 (2022)
In this paper, we establish several kinds of integral inequalities in two independent variables, which improve well-known versions of Gronwall-Bellman inequalities and extend them to fractional integral form. By using these inequalities, we can provi
Externí odkaz:
https://doaj.org/article/80da6530c9834a39aa555d7f09422adf
Autor:
LI Yueyang, LI Haiyin, CHANG Xian, HU Zhilei, LIU Chenhao, GAO Xiaoxin, ZHANG Yuyao, LI Changqing
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 22, Pp 2455-2461 (2021)
Objective To evaluate the clinical efficacy of percutaneous endoscopic lumbar discectomy in the treatment of lumbar disc herniation. Methods Patients who received single-level percutaneous endoscopic lumbar discectomy for lumbar disc herniation in ou
Externí odkaz:
https://doaj.org/article/7e927024063f4de9b2341b3e6c4e2bec
Autor:
Li, Yueyang, Zeng, Weiming, Dong, Wenhao, Han, Di, Chen, Lei, Chen, Hongyu, Yan, Hongjie, Siok, Wai Ting, Wang, Nizhuan
Single-channel electroencephalogram (EEG) is a cost-effective, comfortable, and non-invasive method for monitoring brain activity, widely adopted by researchers, consumers, and clinicians. The increasing number and proportion of articles on single-ch
Externí odkaz:
http://arxiv.org/abs/2407.14850
Autor:
Li, Yueyang, Zeng, Weiming, Dong, Wenhao, Cai, Luhui, Wang, Lei, Chen, Hongyu, Yan, Hongjie, Bian, Lingbin, Wang, Nizhuan
Background: Deep learning models have shown promise in diagnosing neurodevelopmental disorders (NDD) like ASD and ADHD. However, many models either use graph neural networks (GNN) to construct single-level brain functional networks (BFNs) or employ s
Externí odkaz:
http://arxiv.org/abs/2407.03217
Autor:
Chen, Hongyu, Zeng, Weiming, Cai, Luhui, Wang, Lei, Lu, Jia, Li, Yueyang, Yan, Hongjie, Siok, Wai Ting, Wang, Nizhuan
High-precision acquisition of dense-channel electroencephalogram (EEG) signals is often impeded by the costliness and lack of portability of equipment. In contrast, generating dense-channel EEG signals effectively from sparse channels shows promise a
Externí odkaz:
http://arxiv.org/abs/2406.15269
Autor:
Cai, Luhui, Zeng, Weiming, Chen, Hongyu, Zhang, Hua, Li, Yueyang, Yan, Hongjie, Bian, Lingbin, Wang, Nizhuan
Graph deep learning (GDL) has demonstrated impressive performance in predicting population-based brain disorders (BDs) through the integration of both imaging and non-imaging data. However, the effectiveness of GDL based methods heavily depends on th
Externí odkaz:
http://arxiv.org/abs/2406.14455
Publikováno v:
E3S Web of Conferences, Vol 356, p 03046 (2022)
It is found via the analysis of the meteorological data in Chengdu that the number of annual average calm wind days is more than 240. In the non-calm wind time, the dominant wind direction is not obvious, while the annual average wind speed is about
Externí odkaz:
https://doaj.org/article/befedbac57aa47edae623c776d2ce029
Autor:
Li Yueyang
Publikováno v:
SHS Web of Conferences, Vol 144, p 03007 (2022)
In recent years, the prevailing of application of Deep Reinforcement Learning have granted the traditional game AI training a brand-new perspective. Google’s Alpha Go agent might mark the beginning of the trend. While many 2D games have been resear
Externí odkaz:
https://doaj.org/article/5d8dac7a796049f38500f5ab067c405c
Unsupervised anomaly detection methods are at the forefront of industrial anomaly detection efforts and have made notable progress. Previous work primarily used 2D information as input, but multi-modal industrial anomaly detection based on 3D point c
Externí odkaz:
http://arxiv.org/abs/2311.06797