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22881 |
Using stakeholder network analysis to enhance the impact of participation in water governance
Enthalten in Humanities and Social Sciences Communications Bd. 11, 29.3.2024, Nr. 1, date:12.2024: 1-6
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22882 |
Using the co-expression network of T cell-activation-related genes to assess the disease activity in Takayasu’s arteritis patients
Enthalten in Arthritis Research & Therapy Bd. 23, 16.12.2021, Nr. 1, date:12.2021: 1-16
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22883 |
Using the contribution matrix to evaluate complex study limitations in a network meta-analysis: a case study of bipolar maintenance pharmacotherapy review
Enthalten in Biomed Central (London): BMC Research Notes Bd. 9, 14.4.2016, Nr. 1, date:12.2016: 1-13
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22884 |
Using the Methods of Neural Network Learning for Peak Water Level Prediction: A Case Study for the Rivers in the Dvina-Pechora Basin
Enthalten in Russian meteorology and hydrology Bd. 49, 27.6.2024, Nr. 4, date:4.2024: 354-362
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22885 |
Using the Neural Network Technique for Lead Detection in Radar Images of Arctic Sea Ice
Enthalten in Russian meteorology and hydrology Bd. 49, 27.6.2024, Nr. 4, date:4.2024: 346-353
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22886 |
Using the Quality Ability of Neural Networks to Determine Emergency Modes in a Traction Network
Enthalten in Russian electrical engineering Bd. 91, 23.11.2020, Nr. 9, date:9.2020: 546-551
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22887 |
Using the radial basis function network model to assess rocky desertification in northwest Guangxi, China
Enthalten in Environmental earth sciences Bd. 62, 6.3.2010, Nr. 1, date:1.2011: 69-76
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22888 |
Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses: application to accident prevention in households with children under five
Enthalten in BMC public health Bd. 22, 13.5.2022, Nr. 1, date:12.2022: 1-13
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22889 |
Using U-Net convolutional neural network to model pixel-based electrostatic potential distributions in GaN power MIS-HEMTs
Enthalten in Scientific reports Bd. 14, 8.4.2024, Nr. 1, date:12.2024: 1-8
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22890 |
Using weighted gene co-expression network analysis (WGCNA) to identify the hub genes related to hypoxic adaptation in yak (Bos grunniens)
Enthalten in Genes & genomics Bd. 43, 2.8.2021, Nr. 10, date:10.2021: 1231-1246
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