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OpenAlex konusu

Hydrological Forecasting Using AI

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 2.375 eser 161 yazar konusu

Çalışmalar

2.375 eser

  1. OpenAlex üst %1 OpenAlex 99.9%

    Developing accurate soft computing methods for groundwater level (GWL) forecasting is essential for enhancing the planning and management of water resources. Over the past two decades, significant progress has been made in GWL prediction using machine learning (ML) models. Several review articles have been published,…

  2. OpenAlex üst %1 OpenAlex 99.7%

    ROC curve analysis is a fundamental tool for evaluating the performance of a marker in a number of research areas, e.g., biomedicine, bioinformatics, engineering etc., and is frequently used for discriminating cases from controls.There are a number of analysis tools which are used to guide researchers through their an…

  3. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %1 OpenAlex 99.7%

    ROC curve analysis is a fundamental tool for evaluating the performance of a marker in a number of research areas, e.g., biomedicine, bioinformatics, engineering etc., and is frequently used for discriminating cases from controls.There are a number of analysis tools which are used to guide researchers through their an…

  4. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.2%

    Özet henüz yok.

  5. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  6. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 96.6%

    Özet henüz yok.

  7. OpenAlex üst %1 OpenAlex 99.7%

    Due to the stochastic nature and complexity of flow, as well as the existence of hydrological uncertainties, predicting streamflow in dam reservoirs, especially in semi-arid and arid areas, is essential for the optimal and timely use of surface water resources. In this research, daily streamflow to the Ermenek hydroel…

  8. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 98.3%

    Özet henüz yok.

  9. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 98.3%

    Özet henüz yok.

  10. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 98.3%

    Özet henüz yok.

  11. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 98.6%

    In this study, spatiotemporal changes in Lake Burdur from 1987 to 2011 were evaluated using multi-temporal Landsat TM and ETM+ images. Support Vector Machine (SVM) classification and spectral water indexing, including the Normalized Difference Water Index (NDWI), Modified NDWI (MNDWI) and Automated Water Extraction In…

  12. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.3%

    Özet henüz yok.

Akademisyenler

161 akademisyen