Zobrazeno 1 - 10
of 102
pro vyhledávání: '"machining learning"'
Publikováno v:
Journal of Materials Research and Technology, Vol 32, Iss , Pp 86-96 (2024)
Due to the lack of design guidance for high-performance Cr–V steel, it is challenging to identify the target steel within a vast design space. In this paper, a design loop combining property-oriented design criteria and machine learning prediction
Externí odkaz:
https://doaj.org/article/69d877982bf34ec0993c79ce1ef310f3
Autor:
Hao Chen
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
BackgroundUlcerative colitis has a serious impact on the quality of life of patients and is more likely to progress to colon cancer. Therefore, early diagnosis and timely intervention are of considerable importance.MethodsGene expression data of acti
Externí odkaz:
https://doaj.org/article/2508e38800e34c7a95e0edf87ac68c81
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/1c9eb8fa55dc41a690ed6ff74881130e
Publikováno v:
European Journal of Medical Research, Vol 29, Iss 1, Pp 1-15 (2024)
Abstract Background This study aimed to develop and validate an interpretable machine-learning model that utilizes clinical features and inflammatory biomarkers to predict the risk of in-hospital mortality in critically ill patients suffering from se
Externí odkaz:
https://doaj.org/article/33f8d39f6d2a4a4590155a6a2ed182db
Publikováno v:
Mathematics, Vol 12, Iss 22, p 3556 (2024)
Accurate and timely passenger flow prediction is important for the successful deployment of rail transit intelligent operation. The Sparrow Search Algorithm (SSA) has been applied to the parameter optimization of a Long-Short-Term Memory (LSTM) model
Externí odkaz:
https://doaj.org/article/3ca06f40995d41dabdf3cec636049508
Autor:
Yiwen Li, Shuai Guo, Boyi Wang, Jianguo Sun, Liupeng Zhao, Tianshuang Wang, Xu Yan, Fangmeng Liu, Peng Sun, John Wang, Swee Ching Tan, Geyu Lu
Publikováno v:
InfoMat, Vol 6, Iss 6, Pp n/a-n/a (2024)
Abstract The fast booming of wearable electronics provides great opportunities for intelligent gas detection with improved healthcare of mining workers, and a variety of gas sensors have been simultaneously developed. However, these sensing systems a
Externí odkaz:
https://doaj.org/article/a7274d06dc104b83b959455064295dd0
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7312 (2024)
Quantum coherence is a crucial resource in numerous quantum processing tasks. The robustness of coherence provides an operational measure of quantum coherence, which can be calculated for various states using semidefinite programming. However, this m
Externí odkaz:
https://doaj.org/article/9e9ffab3fee240d08361e016bd73e2b7
Publikováno v:
Materials & Design, Vol 239, Iss , Pp 112797- (2024)
Despite the fact that body-centered cubic high entropy alloys (BCC HEAs) exhibit exceptional strengthening mechanisms over a wide temperature range, their application is often hindered by poor room temperature ductility. Consequently, the accurate pr
Externí odkaz:
https://doaj.org/article/87a31fd4e72544159a885b9d496509e0
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