Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Penghua Shi"'
Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network
Publikováno v:
Energy and AI, Vol 18, Iss , Pp 100443- (2024)
Machine learning has started to be used in engine research to optimize combustion and predict fuel spray characteristics. This paper presents the development of a machine learning model using a Genetic Algorithm-Backpropagation (GA-BP) neural network
Externí odkaz:
https://doaj.org/article/43ca6ba7e70e4fcc829677ad1337247b
Publikováno v:
Health and Quality of Life Outcomes, Vol 20, Iss 1, Pp 1-9 (2022)
Abstract Background Almost all traditional Chinese medicine (TCM) quality of life measures are non-preference-based measures (non-PBMs), which do not provide utilities for cost-utility analysis in pharmacoeconomic evaluation. Whereas the mapping has
Externí odkaz:
https://doaj.org/article/80959c54a2c945a49013274a9a6b73e2
Autor:
Mengdie Chen, Yiyun Wang, Ping Feng, Yao Liang, Qiao Liu, Mengyao Yang, Chaoyin Lu, Penghua Shi, Jian Cheng, Anjing Ji, Qidong Zheng
Publikováno v:
Journal of Diabetes Research, Vol 2023 (2023)
Background. With the decreasing age of type 2 diabetes mellitus (T2DM) onset, the incidence of diabetic complications is gradually increasing. We evaluated the independent effect of age at diabetes onset on diabetic retinopathy (DR) development. Meth
Externí odkaz:
https://doaj.org/article/7286a51d36a94f58b4a77a0e3c7983cf
Publikováno v:
PharmacoEconomics. 41:295-306
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2499030af2eff5ee25cc27010de3e126
https://doi.org/10.1007/s40273-022-01232-9
https://doi.org/10.1007/s40273-022-01232-9
Publikováno v:
Inflammopharmacology. 30:1063-1077
Background A meta-analysis of randomized controlled trials (RCTs) was conducted to systematically evaluate the effects of berberine on the inflammatory markers of metabolic syndrome (MetS) and related disorders. Method Databases that were searched fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c0d806a9f9e51f5e575cbaf9dbdad96
https://doi.org/10.1007/s10787-022-00976-2
https://doi.org/10.1007/s10787-022-00976-2
Publikováno v:
Sustainability; Volume 15; Issue 7; Pages: 6312
The wall-impingement phenomenon significantly impacts mixture formation, combustible performance, and pollutant release in DISI engines. However, there is insufficient knowledge regarding the behavior of fuel adhesion. Thus, here, we examine adhesive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7aac21a962bbb7ed3ed8cc3e015ce75
Publikováno v:
The Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines. :C3-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::332aec2a02fccb9ba3fe67dac44a45c6
https://doi.org/10.1299/jmsesdm.2022.10.c3-1
https://doi.org/10.1299/jmsesdm.2022.10.c3-1