Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Beibei Yao"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 5474-5487 (2023)
Land surface emissivity (LSE) has been roughly treated in the current split-window (SW) land surface temperature (LST) retrieval algorithms. This article extended the National Oceanic and Atmospheric Administration Joint Polar Satellite System enterp
Externí odkaz:
https://doaj.org/article/605b55557d1b4c92817cfd1751d27840
Autor:
Zaneta Wojnarowska, Shinian Cheng, Beibei Yao, Malgorzata Swadzba-Kwasny, Shannon McLaughlin, Anne McGrogan, Yoan Delavoux, Marian Paluch
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Liquid−liquid transitions (LLTs) have been reported for some molecular systems but are difficult to observe under high pressure conditions. Here the authors report and characterize a first-order LLT in a series of ionic liquids containing the trihe
Externí odkaz:
https://doaj.org/article/c37b788e1545473298bb3e6aa3662081
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8694-8703 (2022)
Having a good knowledge of the uncertainty in the land surface temperature (LST) product will help to encourage its use in a wide number of applications, including urban heat islands, geothermal detection, and surface energy balance. Landsat 9 was la
Externí odkaz:
https://doaj.org/article/17bcdc9bf1cd4f0fa17874119d2a3056
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0238312 (2020)
BackgroundWe aimed to investigate the correlation between the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), platelet-to-neutrophil ratio (PNR), platelet-to-white blood cell ratio (PWR) and 90-day mortality in patients with
Externí odkaz:
https://doaj.org/article/837bc67b87ce4862836b842f4cd9f14e
Publikováno v:
IEEE Access, Vol 5, Pp 6027-6035 (2017)
Fault feature can be extracted by traditional manifold learning algorithms, which construct neighborhood graphs by Euclidean distance (ED). It is difficult to get an excellent dimensionality reduction result when processed data has strong correlation
Externí odkaz:
https://doaj.org/article/157c8bc014bb41c5bb04694745ffcc77
Publikováno v:
Advances in Mechanical Engineering, Vol 9 (2017)
An appropriate threshold is the key factor in a diagnosis of fault. However, the traditional method of setting a fixed threshold does not take into consideration the influence of system status and noise interference, and it often leads to false alarm
Externí odkaz:
https://doaj.org/article/3085c4e919774ad19f2d025241408c41
Autor:
Weixiang Xu, Mingyang Wang, Gengyuan Cui, Lin Li, Danyang Jiao, Beibei Yao, Ketao Xu, Yueli Chen, Miao Long, Shuhua Yang, Jianbin He
Publikováno v:
Toxins, Vol 11, Iss 9, p 540 (2019)
The aim of this research was to evaluate the potential protective mechanism of astaxanthin (ASTA) against oxidative damage and inflammation caused by ochratoxin (OTA) in mouse lung. We divided mice into a control group (CG), an OTA group (PG), an ast
Externí odkaz:
https://doaj.org/article/b9f17c2577eb4d388616a7ed039e2c6a
Publikováno v:
Applied Sciences, Vol 7, Iss 11, p 1178 (2017)
Due to the noise accompanied with rolling element bearing fault signal, it can reduce the accuracy of faulty diagnoses. In order to improve the robustness of a faulty diagnosis, this study proposed a fault diagnosis model based on modified local line
Externí odkaz:
https://doaj.org/article/9bdbbac5d046463da64130b47a9ab5b8
Publikováno v:
Sensors, Vol 17, Iss 3, p 549 (2017)
Intelligent condition monitoring and fault diagnosis by analyzing the sensor data can assure the safety of machinery. Conventional fault diagnosis and classification methods usually implement pretreatments to decrease noise and extract some time doma
Externí odkaz:
https://doaj.org/article/f7044adcdfc6477b880059c679d3771f
Publikováno v:
Applied Sciences, Vol 7, Iss 2, p 158 (2017)
In order to improve the accuracy of the fault diagnosis of roller bearings, this paper proposes a kind of fault diagnosis algorithm based on manifold learning combined with a wavelet neural network. First, a high-dimensional feature signal set is obt
Externí odkaz:
https://doaj.org/article/fda1ca6ffbb5474fa41abcb1fc75311c