يعرض 801 - 820 نتائج من 1,576 نتيجة بحث عن 'significantly ((linear decrease) OR (largest decrease))', وقت الاستعلام: 0.38s تنقيح النتائج
  1. 801

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

    منشور في 2025
    "…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. …"
  2. 802

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

    منشور في 2025
    "…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. …"
  3. 803

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

    منشور في 2025
    "…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. …"
  4. 804

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

    منشور في 2025
    "…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. …"
  5. 805

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

    منشور في 2025
    "…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. …"
  6. 806

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

    منشور في 2025
    "…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. …"
  7. 807

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

    منشور في 2025
    "…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. …"
  8. 808

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

    منشور في 2025
    "…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. …"
  9. 809

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

    منشور في 2025
    "…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. …"
  10. 810
  11. 811

    Flow chart of Fuzzy Logic based control system. حسب Gourab Saha (8987405)

    منشور في 2025
    "…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. 812

    Block diagram for IoT-based irrigation system. حسب Gourab Saha (8987405)

    منشور في 2025
    "…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. 813

    Flow chart of Average Value-based control system. حسب Gourab Saha (8987405)

    منشور في 2025
    "…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. 814

    Hardware design for IoT-based irrigation system. حسب Gourab Saha (8987405)

    منشور في 2025
    "…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. 815
  16. 816

    Characteristics of the study subjects (N = 39). حسب Layane S. P. Costa (22530327)

    منشور في 2025
    "…EELV increased in PL (+ 0.7 mL/kg PBW), PR (+2.0), and AR (+2.8), but decreased in AL (−2.3) (<i><i>p</i></i> < 0.001). In the bilateral protocol (n = 10, 70% male; 23.6 ± 3.2 years), regional ventilation showed no significant effects of position, ROI, or interaction (<i><i>p</i></i> > 0.05). …"
  17. 817

    Flowchart of study. حسب Layane S. P. Costa (22530327)

    منشور في 2025
    "…EELV increased in PL (+ 0.7 mL/kg PBW), PR (+2.0), and AR (+2.8), but decreased in AL (−2.3) (<i><i>p</i></i> < 0.001). In the bilateral protocol (n = 10, 70% male; 23.6 ± 3.2 years), regional ventilation showed no significant effects of position, ROI, or interaction (<i><i>p</i></i> > 0.05). …"
  18. 818
  19. 819

    Renamed 05c60. حسب Hongjun Sun (12554742)

    منشور في 2025
    "…The study reveals three key findings. (1) Contribution levels of China’s eight comprehensive economic zones to national standard development have significantly increased. The Northern Coastal comprehensive economic zone has the highest contribution levels, followed by the Eastern and Southern Coastal zones, whereas the Northwestern and Northeastern zones have lower contribution levels. (2) The overall regional disparity in national standard development contribution levels is decreasing, with the largest intraregional disparities found in the Northern and Southern Coastal zones. …"
  20. 820

    Region Division. حسب Hongjun Sun (12554742)

    منشور في 2025
    "…The study reveals three key findings. (1) Contribution levels of China’s eight comprehensive economic zones to national standard development have significantly increased. The Northern Coastal comprehensive economic zone has the highest contribution levels, followed by the Eastern and Southern Coastal zones, whereas the Northwestern and Northeastern zones have lower contribution levels. (2) The overall regional disparity in national standard development contribution levels is decreasing, with the largest intraregional disparities found in the Northern and Southern Coastal zones. …"