Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Xiaotao Wei"'
Publikováno v:
IEEE Access, Vol 8, Pp 8913-8921 (2020)
The recent success of deep neural networks is attributed in part to large-scale well-labeled training data. However, with the ever-increasing size of modern datasets, combined with the difficulty of obtaining label information, semi-supervised learni
Externí odkaz:
https://doaj.org/article/25621d438e89430d8a003fd483e0521e
Publikováno v:
Crystals, Vol 13, Iss 1, p 103 (2023)
In the present study, we collected and investigated spinels from the Man Sin deposit in Myanmar using standard gemological testing, microscopic observation, EDXRF, and Raman spectrometry. The color observation was performed under various lighting con
Externí odkaz:
https://doaj.org/article/68a202a071e14ad4a5d999efb9630009
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 12, Iss 4, Pp 1729-1736 (2018)
Mass spectrometry is an analytical technique for molecules detection after separating the particle motion (charged molecules, atoms and fragment ions) according to their mass-to-charge ratio, under the action of an electric field and a magnetic fie
Externí odkaz:
https://doaj.org/article/9264818631f64a5eb12f48001238d360
Autor:
Ruihe Lin, Jingli Cai, Cody Nathan, Xiaotao Wei, Stephanie Schleidt, Robert Rosenwasser, Lorraine Iacovitti
Publikováno v:
Neurobiology of Disease, Vol 74, Iss , Pp 229-239 (2015)
Previous studies have established the subventricular (SVZ) and subgranular (SGZ) zones as sites of neurogenesis in the adult forebrain (Doetsch et al., 1999a; Doetsch, 2003a). Work from our laboratory further indicated that midline structures known a
Externí odkaz:
https://doaj.org/article/e08c3f8e67fa400a89b5b1dfbbd0ec31
Autor:
Lorraine Iacovitti, Xiaotao Wei, Jingli Cai, Eric W Kostuk, Ruihe Lin, Alexander Gorodinsky, Philip Roman, Gretchen Kusek, Sonal S Das, Audrey Dufour, Terina N Martinez, Kuldip D Dave
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p e113151 (2014)
Parkinson disease (PD) is the second leading neurodegenerative disease in the US. As there is no known cause or cure for PD, researchers continue to investigate disease mechanisms and potential new therapies in cell culture and in animal models of PD
Externí odkaz:
https://doaj.org/article/4d2f73f4e1f9464c9023cd5e0d39b7ae
Autor:
Cao Huang, Hongxia Zhou, Jianbin Tong, Han Chen, Yong-Jian Liu, Dian Wang, Xiaotao Wei, Xu-Gang Xia
Publikováno v:
PLoS Genetics, Vol 7, Iss 3, p e1002011 (2011)
Fused in Sarcoma (FUS) proteinopathy is a feature of frontotemporal lobar dementia (FTLD), and mutation of the fus gene segregates with FTLD and amyotrophic lateral sclerosis (ALS). To study the consequences of mutation in the fus gene, we created tr
Externí odkaz:
https://doaj.org/article/7e95254ff05a4b6f9b7dda9e5e7bc54c
Publikováno v:
Cell Transplantation, Vol 19 (2010)
In this study, we examined the effects of systemic administration of rat or human bone marrow stromal stem cells (MSC) at early and later times following middle cerebral artery occlusion (MCAO) on blood cytokines/growth factors, brain glia, and motor
Externí odkaz:
https://doaj.org/article/9b8febd8e2904a229a0d2f537f31e5f2
Publikováno v:
IEEE Access, Vol 8, Pp 8913-8921 (2020)
The recent success of deep neural networks is attributed in part to large-scale well-labeled training data. However, with the ever-increasing size of modern datasets, combined with the difficulty of obtaining label information, semi-supervised learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d50395f946996b3121fd1d267cf39a5
https://ieeexplore.ieee.org/document/8950402/
https://ieeexplore.ieee.org/document/8950402/
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030794620
IEA/AIE (2)
IEA/AIE (2)
A deep learning intrusion detection algorithm based on stacked denoising autoencoder and extreme learning machine (SDA-ELM) is proposed to solve the problem that the traditional machine learning algorithm can’t cope with the classification of multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75f1e50ad08d084c95e82c248b267b16
https://doi.org/10.1007/978-3-030-79463-7_42
https://doi.org/10.1007/978-3-030-79463-7_42
Publikováno v:
2020 15th IEEE International Conference on Signal Processing (ICSP).
With the rapid development of rail transit, the health status of trackside equipment is more and more crucial to the operation of rail transit. The use of high-precision anomaly detection methods can quickly detect the abnormal conditions of tracksid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::669a224bd752f307d718e8d5510dee29
https://doi.org/10.1109/icsp48669.2020.9320922
https://doi.org/10.1109/icsp48669.2020.9320922