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    Application of neural network modeling for identification of water bodies in river basins using Earth satellite remote sensing data by Natalia A. Dushenko, Maria M. Golovacheva, Mikhail V. Kapustin, Kristina S. Surtayeva

    Published 2025-07-01
    “…The article presents a methodology of water bodies’ segmentation in river basins according satellite Earth remote sensing data with application of neural networks and determination, with the use of the obtained results, water bodies’ areas and volumes of losses caused by additional evaporation from their surface in the Ural River basin.…”
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    A Fast Independent Component Analysis Algorithm for Geochemical Anomaly Detection and Its Application to Soil Geochemistry Data Processing by Bin Liu, Si Guo, Youhua Wei, Zedong Zhan

    Published 2014-01-01
    “…However, the traditional CFM failed to produce realistic results and has no significant use for prospecting indication. It is shown that application of the FICAA to geochemical data processing is effective.…”
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  5. 1145

    Application of a mixed additive and multiplicative random error model to generate DTM products from LiDAR data by Li Guohong, Xin Huijuan, Song Xiaohui, Rehan Khan

    Published 2025-05-01
    “…In current applications, LiDAR data are still treated as having primarily additive errors; however, studies have shown that it is affected by both additive and multiplicative errors. …”
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    Application of artificial intelligence to electronic health record data in long-term care facilities: a scoping review protocol by Yuko Yamaguchi, Tsuyoshi Mukaihata, Hirochika Ryuno, Tadamasa Takemura, Chieko Greiner

    Published 2025-07-01
    “…With the aim of examining the application of AI to EHR data in LTC facilities, this scoping review will identify current AI applications for EHR in LTC, informing future research and potential care improvements in LTC settings.Methods and analysis This review will follow the scoping review methodological guidelines. …”
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    KRSA: An R package and R Shiny web application for an end-to-end upstream kinase analysis of kinome array data. by Erica A K DePasquale, Khaled Alganem, Eduard Bentea, Nawshaba Nawreen, Jennifer L McGuire, Tushar Tomar, Faris Naji, Riet Hilhorst, Jaroslaw Meller, Robert E McCullumsmith

    Published 2021-01-01
    “…We present Kinome Random Sampling Analyzer (KRSA), an R package and R Shiny web-application for analyzing kinome array data to help users better understand the patterns of functional proteomics in complex biological systems. …”
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