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21911 |
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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21912 |
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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21913 |
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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21914 |
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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21915 |
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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21916 |
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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21917 |
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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21918 |
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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21919 |
Utilising network pharmacology to explore the underlying mechanism of Wumei Pill in treating pancreatic neoplasms
Enthalten in BMC complementary and alternative medicine Bd. 19, 4.7.2019, Nr. 1, date:12.2019: 1-12
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21920 |
Utility of a novel integrated deep convolutional neural network for the segmentation of hip joint from computed tomography images in the preoperative planning of total hip arthroplasty
Enthalten in Journal of orthopaedic surgery and research Bd. 17, 15.3.2022, Nr. 1, date:12.2022: 1-17
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