بدائل البحث:
linear decrease » linear increase (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
يعرض 1,921 - 1,940 نتائج من 4,620 نتيجة بحث عن 'significantly ((((linear decrease) OR (mean decrease))) OR (larger decrease))', وقت الاستعلام: 0.42s تنقيح النتائج
  1. 1921
  2. 1922
  3. 1923
  4. 1924
  5. 1925
  6. 1926
  7. 1927
  8. 1928
  9. 1929
  10. 1930

    Performance comparison of ML models. حسب Gourab Saha (8987405)

    منشور في 2025
    "…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"
  11. 1931

    Comparative data of different soil samples. حسب Gourab Saha (8987405)

    منشور في 2025
    "…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"
  12. 1932

    Confusion matrix of random forest model. حسب Gourab Saha (8987405)

    منشور في 2025
    "…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"
  13. 1933

    Sensor value scenario for fuzzy logic algorithm. حسب Gourab Saha (8987405)

    منشور في 2025
    "…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"
  14. 1934

    Evaluation metrics of selected ML models. حسب Gourab Saha (8987405)

    منشور في 2025
    "…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"
  15. 1935

    Block diagram of the proposed system. حسب Gourab Saha (8987405)

    منشور في 2025
    "…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"
  16. 1936

    Chart for applicable amount of fertilizers. حسب Gourab Saha (8987405)

    منشور في 2025
    "…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"
  17. 1937

    Cost analysis of irrigation controller unit. حسب Gourab Saha (8987405)

    منشور في 2025
    "…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"
  18. 1938

    Run times of two algorithms. حسب Gourab Saha (8987405)

    منشور في 2025
    "…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"
  19. 1939

    Metals concentrations in selected coal samples. حسب Ruchika Kishor Jain (19704102)

    منشور في 2024
    "…After BAI-RCD treatment, both cell lines showed a decrease in antioxidant stress measures (SOD, CAT, and GSH) and a significant (<i>p</i> < 0.001) increase in oxidative stress parameters (NADPH, MPO, LPO, and PC). …"
  20. 1940

    BAI as a percent release at pH 4.5. حسب Ruchika Kishor Jain (19704102)

    منشور في 2024
    "…After BAI-RCD treatment, both cell lines showed a decrease in antioxidant stress measures (SOD, CAT, and GSH) and a significant (<i>p</i> < 0.001) increase in oxidative stress parameters (NADPH, MPO, LPO, and PC). …"