Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Yuantao Yang"'
Publikováno v:
iScience, Vol 27, Iss 10, Pp 110669- (2024)
Summary: Rooftop photovoltaics (RPVs) are crucial for decarbonizing the power sector and achieving carbon neutrality, with expected future capacity increases. The growth of RPVs necessitates substantial aluminum (Al) resources, contributing significa
Externí odkaz:
https://doaj.org/article/2b0e0a4632014e9b9957e887bdf9ca10
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Arachnoid cysts (ACs) are frequently encountered as incidental findings in the brain, with most cases being asymptomatic and not requiring intervention. However, severe brain malformations caused by ACs are rare. In this study, we describe the case o
Externí odkaz:
https://doaj.org/article/de7c9f76ee6a4b15a9354ae415197516
Autor:
Ping Li, Yuanfeng Zhou, Qin Zhang, Yuantao Yang, Min Wang, Renqing Zhu, Hao Li, Shuo Gu, Rui Zhao
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
ObjectiveWe aimed to investigate the methodology, results, complications and stereotactic application accuracy of electrode implantation and its explanatory variables in stereoelectroencephalography-guided radiofrequency thermocoagulation (SEEG-RFTC)
Externí odkaz:
https://doaj.org/article/e9b8b5e659d94a3c988863b36ab61e0e
Autor:
Yuantao Yang, Junli Wang, Xuanbing Wang, Jinlong Wei, Xiaoning Tong, Ruidong Xu, Linjing Yang
Publikováno v:
Metals, Vol 14, Iss 1, p 87 (2024)
The electrolytic refining of crude tin is generally carried out in the fluorosilicic acid (H2SiF6) system with the assistance of bone glue and β-naphthol. However, the high saturated vapor pressure and low stability of H2SiF6 present environmental c
Externí odkaz:
https://doaj.org/article/1628cd554e7d4ff3b260da7f79c1dbe4
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
There lacks a spatially explicit mapping of global carbon footprint in China that considers both international and interprovincial trade. Here the authors map the carbon footprints of global regions in China and show the hotspots concentrated in key
Externí odkaz:
https://doaj.org/article/4361127f1a3d4af1b600bdfcf56f30c0
Publikováno v:
IEEE Access, Vol 8, Pp 91103-91115 (2020)
In recent years, Convolutional neural networks (CNNs) have achieved start-of-art performance in the fault diagnosis field. If there is no available information on the unseen operating conditions, the model trained on the seen operating condition cann
Externí odkaz:
https://doaj.org/article/53fba01ff9cc4cb6a901bbb973c856f3
Publikováno v:
IEEE Access, Vol 7, Pp 109751-109762 (2019)
Aiming at the problem that the traditional similarity measurement methods cannot effectively measure the similarity of the time series with the difference both in the trend and detail, this paper proposes a new time series similarity measurement meth
Externí odkaz:
https://doaj.org/article/06dfafb9e64a4f04bac6a52861d50ed3
Publikováno v:
IEEE Access, Vol 7, Pp 129260-129290 (2019)
Data-driven fault diagnosis has been a hot topic in recent years with the development of machine learning techniques. However, the prerequisite that the training data and the test data should follow an identical distribution prevents the conventional
Externí odkaz:
https://doaj.org/article/d06ca9fd1c7a47b0ac3f6d4f5793cb40
Autor:
Xin Yang, Rui Liu, Mei Yang, Jingjue Chen, Tianqiang Liu, Yuantao Yang, Wei Chen, Yuting Wang
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2166 (2021)
This study proposed a new hybrid model based on the convolutional neural network (CNN) for making effective use of historical datasets and producing a reliable landslide susceptibility map. The proposed model consists of two parts; one is the extract
Externí odkaz:
https://doaj.org/article/e2b6e64b92124c0fa6144f25587b8319
Publikováno v:
Applied Sciences, Vol 10, Iss 2, p 673 (2020)
The life prediction is crucial to guarantee the reliability and safety of the mechanical system. The current prediction methods predict the life only based on the historical usage pattern of the mechanical system, and do not consider the mission prof
Externí odkaz:
https://doaj.org/article/785c32ff447f4896ae1cc88a9f54e823