Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Luming Chen"'
Autor:
Luming Chen, Sujit K. Ghosh
Publikováno v:
Entropy, Vol 26, Iss 2, p 150 (2024)
Generative models have gained significant attention in recent years. They are increasingly used to estimate the underlying structure of high-dimensional data and artificially generate various kinds of data similar to those from the real world. The pe
Externí odkaz:
https://doaj.org/article/b1903ee7e4b4416c89bf27a76ced1efa
Publikováno v:
Health Data Science, Vol 3 (2023)
Background. Chinese medical entities have not been organized comprehensively due to the lack of well-developed terminology systems, which poses a challenge to processing Chinese medical texts for fine-grained medical knowledge representation. To unif
Externí odkaz:
https://doaj.org/article/00b3e05c280e4897adf9dee287e1e778
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S5, Pp 1-17 (2021)
Abstract Background A thermal face recognition under different conditions is proposed in this article. The novelty of the proposed method is applying temperature information in the recognition of thermal face. The physiological information is obtaine
Externí odkaz:
https://doaj.org/article/b53925967e634433ad078f8799c699ae
Publikováno v:
Case Studies in Thermal Engineering, Vol 36, Iss , Pp 102218- (2022)
Conventional electric heating methods applied when evaluating the natural convection heat transfer parameters at the outer walls of cylinders produce uneven heat flows and large measurement errors. The present work addresses these issues by developin
Externí odkaz:
https://doaj.org/article/2b2be0de8583453caffb254a1df5a57a
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 6, p e37213 (2022)
BackgroundPhenotype information in electronic health records (EHRs) is mainly recorded in unstructured free text, which cannot be directly used for clinical research. EHR-based deep-phenotyping methods can structure phenotype information in EHRs with
Externí odkaz:
https://doaj.org/article/9b7f82f6494645cfb6f2e6795344b883
Publikováno v:
IEEE Access, Vol 9, Pp 20681-20694 (2021)
The lack of a load power prediction function in conventional multi-wheel electric drive vehicles leads to lags in control action. To address this issue, we developed a real-time energy management strategy with improved load power prediction accuracy.
Externí odkaz:
https://doaj.org/article/3d4863f9f656473a9c222b9c5fe63b71
Autor:
Xinqi Cheng, Shicheng Li, Lizong Deng, Wei Luo, Dancheng Wang, Jin Cheng, Chaochao Ma, Luming Chen, Taijiao Jiang, Ling Qiu, Guojun Zhang
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
ObjectiveThe purpose of this study was to predict elevated TSH levels by developing an effective machine learning model based on large-scale physical examination results.MethodsSubjects who underwent general physical examinations from January 2015 to
Externí odkaz:
https://doaj.org/article/7e3b26c3554b4d829ff0eee91231e1ff
Publikováno v:
IEEE Access, Vol 8, Pp 202819-202835 (2020)
A primary challenge to the implementation of hybrid electric vehicles (HEVs) is the design of the energy management strategy for the vehicle. Most conventional strategies have been designed for passenger vehicles using rule-based or optimization-base
Externí odkaz:
https://doaj.org/article/35d0084c1efb42318e93ad5f00798828
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 7, p e31481 (2021)
Externí odkaz:
https://doaj.org/article/5c924e999e6242a3b6d4e5b54f10dfc1
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Background: To summarize the distribution of pathogenic bacteria in elderly Chinese patients with pneumonia and provide guidance for the clinical application of antibiotics.Methods: The electronic databases of PubMed, Embase, Cochrane library, and Ch
Externí odkaz:
https://doaj.org/article/7f4bb38f984b4fb7acdb300880434af7