Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Guanghao Yan"'
1
Akademický článek
Early prognosis prediction for non-variceal upper gastrointestinal bleeding in the intensive care unit: based on interpretable machine learning
Autor: Xiaoxu Zhao, Shuxing Wei, Yujie Pan, Kunlong Qu, Guanghao Yan, Xiya Wang, Yuguo Song
Publikováno v: European Journal of Medical Research, Vol 29, Iss 1, Pp 1-11 (2024)
Abstract Introduction This study aims to construct a mortality prediction model for patients with non-variceal upper gastrointestinal bleeding (NVUGIB) in the intensive care unit (ICU), employing advanced machine learning algorithms. The goal is to i
Externí odkaz: https://doaj.org/article/1c234d28cd1d4f44932b93cfde55a639
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2
Effectiveness of virtual team learning in entrepreneurship education: a survey study
Autor: Li Chen, Dirk Ifenthaler, Wenting Sun, Tao Xu, Guanghao Yan
Publikováno v: Entrepreneurship Education. 5:69-95
This study examines the effectiveness of virtual team learning for entrepreneurship competence in the Chinese higher education sector. Related research on the effectiveness of virtual team learning is sparse, especially in the area of entrepreneurshi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8eb60e30571bc40749b4783cae1ce5f4
https://doi.org/10.1007/s41959-022-00064-0
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4
Akademický článek
Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data
Autor: Di Gao, Guanghao Yang, Jiarun Shen, Fang Wu, Chao Ji
Publikováno v: Frontiers in Computational Neuroscience, Vol 18 (2024)
IntroductionAdolescence is a fundamental period of transformation, encompassing extensive physical, psychological, and behavioral changes. Effective health risk assessment during this stage is crucial for timely intervention, yet traditional methodol
Externí odkaz: https://doaj.org/article/7e665edbb7b24faf972c7fe95a652ce0
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7
Akademický článek
Wearable technology for one health: Charting the course of dermal biosensing
Autor: Georgeta Vulpe, Guoyi Liu, Sam Oakley, Dimitrios Pletsas, Guanghao Yang, Rosa Dutra, Owen Guy, Yufei Liu, Mark Waldron, Joe Neary, Arjun Ajith Mohan, Sanjiv Sharma
Publikováno v: Biosensors and Bioelectronics: X, Vol 19, Iss , Pp 100500- (2024)
Over the last decade, a significant paradigm shift has been observed towards leveraging less invasive biological fluids—such as skin interstitial fluid (ISF), sweat, tears, and saliva—for health monitoring. This evolution seeks to transcend tradi
Externí odkaz: https://doaj.org/article/c1cecfd1cb2d4e63b709b6034aa283ad
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8
Akademický článek
Optimized Trajectory Tracking for ROVs Using DNN + ENMPC Strategy
Autor: Guanghao Yang, Weidong Liu, Le Li, Jingming Xu, Liwei Guo, Kang Zhang
Publikováno v: Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1827 (2024)
This study introduces an innovative double closed-loop 3D trajectory tracking approach, integrating deep neural networks (DNN) with event-triggered nonlinear model predictive control (ENMPC), specifically designed for remotely operated vehicles (ROVs
Externí odkaz: https://doaj.org/article/5da5524306b04cb082a7f72b88d74cc0
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9
Akademický článek
Fractional Active Disturbance Rejection Positioning and Docking Control of Remotely Operated Vehicles: Analysis and Experimental Validation
Autor: Weidong Liu, Liwei Guo, Le Li, Jingming Xu, Guanghao Yang
Publikováno v: Fractal and Fractional, Vol 8, Iss 6, p 354 (2024)
In this paper, a fractional active disturbance rejection control (FADRC) scheme is proposed for remotely operated vehicles (ROVs) to enhance high-precision positioning and docking control in the presence of ocean current disturbances and model uncert
Externí odkaz: https://doaj.org/article/89f511f4897140a69c9479224d163283
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10
iSNAP: a small RNA-based molecular marker technique
Autor: Weiren Wu, Bingguang Xiao, Yijie Gui, Yu Wang, Xiuping Lu, Shiping Bo, Zhijun Tong, Yongping Li, Longjiang Fan, Guanghao Yan
Publikováno v: Plant Breeding. 130:515-520
With 4 figures and 3 tables Abstract Endogenous non-coding small RNAs usually consist of 20–24 nucleotides, are found ubiquitously throughout the genome and play important regulatory roles in most eucaryotes. In this study, a new kind of PCR-based
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::79ce1443a0deebe9be033bf02a9ba400
https://doi.org/10.1111/j.1439-0523.2011.01872.x
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Plný text Recenzováno Digitální knihovna AV ČR
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