Zobrazeno 1 - 10
of 53
pro vyhledávání: '"TIANHAO HU"'
Autor:
Gengnan Li, Dmitri N. Zakharov, Tianhao Hu, Youngseok Yu, Iradwikanari Waluyo, Adrian Hunt, Ashley R. Head, Jorge Anibal Boscoboinik
Publikováno v:
Communications Materials, Vol 5, Iss 1, Pp 1-8 (2024)
Abstract Understanding the atomistic structure of the active site during catalytic reactions is of paramount importance in both fundamental studies and practical applications, but such studies are challenging due to the complexity of heterogeneous sy
Externí odkaz:
https://doaj.org/article/198088622000409fa4a00fba718be756
Publikováno v:
IEEE Access, Vol 10, Pp 31896-31906 (2022)
To improve the extraction ability of image features, reduce the complexity of model parameters, and enhance the reconstruction effect of image super-resolution (SR), a structured fusion attention network (SFAN) is proposed. Firstly, the deep convolut
Externí odkaz:
https://doaj.org/article/9883a2db2347410781421047aac19af3
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Background: Glioma is the most prevalent malignant intracranial tumor. Many studies have shown that angiogenesis plays a crucial role in glioma tumorigenesis, metastasis, and prognosis. In this study, we conducted a comprehensive analysis of angiogen
Externí odkaz:
https://doaj.org/article/558731c1dd6942d986d5ed760c1caba3
Publikováno v:
Frontiers in Surgery, Vol 9 (2022)
PurposePatients with intraventricular tumors are more susceptible to postoperative meningitis (POM) than other intracranial tumors. In this study, we explored the risk factors of POM in lateral ventricular trigone meningiomas (LVTMs).MethodsClinical
Externí odkaz:
https://doaj.org/article/910ec93f6ab545a18e5ae3fab86ab7c6
Autor:
Run Wang, Yifu Song, Tianhao Hu, Xiaoliang Wang, Yang Jiang, Di Zhang, Juanhan Yu, Sheng Han, Liang Kan
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
PurposeMultifocal and multicentric glioblastomas (mGBMs) are associated with a poorer prognosis compared to unifocal glioblastoma (uGBM). The presence of CD8+ tumor-infiltrating lymphocytes (TILs) is predictive of clinical outcomes in human malignanc
Externí odkaz:
https://doaj.org/article/41b5890975ed45ae94203c22ef44d373
Publikováno v:
IEEE Access, Vol 7, Pp 125133-125145 (2019)
In recent years, machine learning and deep learning based fault diagnosis methods have been studied, however, most of them remain at the experimental stage mainly because of two obstacles, briefly, a) inadequate faulty examples and b) various working
Externí odkaz:
https://doaj.org/article/d7191c23c25446fd80fe7eae6a91cf9d
Publikováno v:
Sensors, Vol 22, Iss 7, p 2633 (2022)
Aiming at the problem of Transformers lack of local spatial receptive field and discontinuous boundary loss in rotating object detection, in this paper, we propose a Transformer-based high-precision rotating object detection model (RODFormer). Firstl
Externí odkaz:
https://doaj.org/article/b0de6e0020ab40ebadd86a2b40cbb74b
Publikováno v:
Applied Sciences, Vol 10, Iss 16, p 5462 (2020)
Based on various carbon nano materials, the ternary composite functionalized carbon nanotubes (FMWCNTs) @ carbon quantum dots (CQDs) @ polyaniline (PANI) was prepared by in-situ polymerization and hydrothermal method. The carbon-based material was ma
Externí odkaz:
https://doaj.org/article/d21349b55bb149f299cdeabab154d063
Publikováno v:
Sensors, Vol 18, Iss 10, p 3312 (2018)
Bearings are critical parts of rotating machines, making bearing fault diagnosis based on signals a research hotspot through the ages. In real application scenarios, bearing signals are normally non-linear and unstable, and thus difficult to analyze
Externí odkaz:
https://doaj.org/article/ede1c0b04f2e4dcf94efac6fcf73b699
Publikováno v:
SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 4, pC369-C398, 30p