Showing 801 - 820 results of 3,823 for search '"Deep Learning"', query time: 0.08s Refine Results
  1. 801

    72‐Hour Time Series Forecasting of Hourly Relativistic Electron Fluxes at Geostationary Orbit by Deep Learning by Jihyeon Son, Yong‐Jae Moon, Seungheon Shin

    Published 2022-10-01
    “…Our study implies that the deep learning model can be applied to forecasting long‐term sequential space weather events.…”
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    Voice analysis and deep learning for detecting mental disorders in pregnant women: a cross-sectional study by Hikaru Ooba, Jota Maki, Hisashi Masuyama

    Published 2025-02-01
    “…This study aimed to develop a deep learning model that analyzes the voices of pregnant women to screen for mental disorders, thereby offering an alternative to the traditional tools. …”
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    Deep Learning-based Gold Price Prediction: A Novel Approach using Time Series Analysis by Hewa Majeed Zangana, Salah Ramadan Obeyd

    Published 2024-11-01
    “…This paper presents a deep learning-based system for predicting gold prices using historical data. …”
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  13. 813

    Deep learning–based resource allocation for secure transmission in a non-orthogonal multiple access network by Miao Zhang, Yao Zhang, Qian Cen, Shixun Wu

    Published 2022-06-01
    “…Machine learning techniques, especially deep learning algorithms have been widely utilized to deal with different kinds of research problems in wireless communications. …”
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    Deep learning–based assessment of missense variants in the COG4 gene presented with bilateral congenital cataract by Shaohua Zhang, Yang Sun, Yinghong Ji, Li Ning, Binghe Xiao, Maierdanjiang Ainiwaer, Houyi Liu, Yingying Hong

    Published 2025-01-01
    “…PCA of included pathogenic metrics demonstrated p.Y714F occurred at a critical position in Cog4 amino acid sequence with disrupted post-translational phosphorylation.Conclusion Deep learning algorithms, including AF2, AM and ThermoMPNN, can be useful for evaluating variant of uncertain significance (VUS) by structural and pathogenicity prediction. …”
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    KGRDR: a deep learning model based on knowledge graph and graph regularized integration for drug repositioning by Huimin Luo, Huimin Luo, Hui Yang, Hui Yang, Ge Zhang, Ge Zhang, Jianlin Wang, Jianlin Wang, Junwei Luo, Chaokun Yan, Chaokun Yan, Chaokun Yan

    Published 2025-02-01
    “…In this study, we propose a novel deep learning-based framework KGRDR containing multi-similarity integration and knowledge graph learning to predict potential drug-disease interactions. …”
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