Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Yuqian Fan"'
Autor:
Jifei Zhao, Chenfan Du, Yi Li, Mohammed Mudhsh, Dawei Guo, Yuqian Fan, Xiaoying Wu, Xinfa Wang, Rolla Almodfer
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Pomegranate is an important fruit crop that is usually managed manually through experience. Intelligent management systems for pomegranate orchards can improve yields and address labor shortages. Fast and accurate detection of pomegranates i
Externí odkaz:
https://doaj.org/article/66f2d10d6a4341c1bef8f4dd728ab536
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110616- (2024)
In this paper, the GSP655060Fe soft pack lithium-ion battery with a capacity of 1600 mAh is utilized, employing lithium iron phosphate as the positive electrode and graphite as the negative electrode. In order to comprehensively evaluate the performa
Externí odkaz:
https://doaj.org/article/0e0ac4f2d5f54f61b1bc2e562147ef84
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 16, Iss 1, Pp 1031-1047 (2022)
A well-designed battery thermal management system (BTMS) can achieve optimal cooling performance with less power consumption than a poorly-designed system. However, it is difficult to use the computational fluid dynamics (CFD) method to perform an ef
Externí odkaz:
https://doaj.org/article/cb9ce1ab00e24abb85f2434846a935a1
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 8953-8964 (2022)
With the development of cloud and edge computing, deep learning based on big data has been widely utilized for lithium-ion battery state of health (SoH) online estimation, where improving the accuracy, robustness, and real-time applicability are curr
Externí odkaz:
https://doaj.org/article/a4355e5cbe0e45f084ace1c4d794e0e5
Autor:
Yuqian Fan, Yi Li, Jifei Zhao, Linbing Wang, Chong Yan, Xiaoying Wu, Pingchuan Zhang, Jianping Wang, Guohong Gao, Liangliang Wei
Publikováno v:
Batteries, Vol 9, Iss 11, p 539 (2023)
With the rapid development of machine learning and cloud computing, deep learning methods based on big data have been widely applied in the assessment of lithium-ion battery health status. However, enhancing the accuracy and robustness of assessment
Externí odkaz:
https://doaj.org/article/5e1bc124114348cd8799ef99b5f634c3
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Metanephric stromal tumor (MST) is a rare, benign pediatric renal neoplasm of uncertain histogenesis that belongs to the metanephric family of tumors. MST involving adult patients is very uncommon, which could cause significant diagnostic confusions.
Externí odkaz:
https://doaj.org/article/11104509bf844569b09195718bea1394
Publikováno v:
Batteries, Vol 9, Iss 6, p 291 (2023)
The present expeditious charging approach for electric automobiles relies on provisional trial data and the technical proficiency of lithium battery producers, and it is deficient in systematic methodologies for assessing the safety threshold of char
Externí odkaz:
https://doaj.org/article/9a8c58d9126348759e5a135b0e383c6e
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivesThe study developed and validated a radiomics nomogram based on a combination of computed tomography (CT) radiomics signature and clinical factors and explored the ability of radiomics for individualized prediction of Ki-67 expression in he
Externí odkaz:
https://doaj.org/article/94c06d76dbda4782a79bc07d0f227f03
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundAngiofibroma of soft tissue (AFST) is a rare mesenchymal neoplasm of fibroblastic differentiation. Due to its diverse morphology and the lack of specific immunohistochemistry (IHC) markers, AFST could elicit a broad range of differential di
Externí odkaz:
https://doaj.org/article/44f7d0359cc14764af71058428ab7dc5
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
With the development of cloud and edge computing, data-driven methods for estimating a Li-ion battery’s state of health are becoming increasingly attractive. However, existing data-driven estimation methods have problems of low accuracy and weak ro
Externí odkaz:
https://doaj.org/article/46fd1715d27f4a16b908eb2393c1b6a1