يعرض 1,301 - 1,320 نتائج من 2,771 نتيجة بحث عن 'significantly ((linear decrease) OR (((greater decrease) OR (greatest decrease))))', وقت الاستعلام: 0.44s تنقيح النتائج
  1. 1301

    CNN-LSTM action recognition process. حسب Longfei Gao (698900)

    منشور في 2025
    "…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …"
  2. 1302

    Differences in magnitude and velocity of decay of the different compartments of the viral reservoir. حسب Maria C. Puertas (8801768)

    منشور في 2025
    "…<p>A. The overall decrease in each fraction of the viral reservoir during the first year after ART initiation is expressed as the ratio of week 48 to baseline values. …"
  3. 1303

    Simulation datasets. حسب Xiao Mo (2430355)

    منشور في 2025
    "…These results offer significant theoretical guidance for the design and improvement of needle-free injection.…"
  4. 1304

    Grid division diagram. حسب Ming Zhang (9736)

    منشور في 2025
    "…When the height is 2.5m and above, the windbreak efficiency is greater than 90%, and the windbreak effect is significantly improved. (2) The change of sand barrier height has a significant effect on the windbreak efficiency between the second and third sand barriers. (3) Among the three sand-blocking fences, when the height of the sand-blocking fence is 2.5m, the thickness of the sand is 50.51% and 58.33% higher than that of the 2m high sand-blocking fence, and the sand-blocking effect is the most significant. …"
  5. 1305

    Model calculation diagram. حسب Ming Zhang (9736)

    منشور في 2025
    "…When the height is 2.5m and above, the windbreak efficiency is greater than 90%, and the windbreak effect is significantly improved. (2) The change of sand barrier height has a significant effect on the windbreak efficiency between the second and third sand barriers. (3) Among the three sand-blocking fences, when the height of the sand-blocking fence is 2.5m, the thickness of the sand is 50.51% and 58.33% higher than that of the 2m high sand-blocking fence, and the sand-blocking effect is the most significant. …"
  6. 1306

    Grid independence verification. حسب Ming Zhang (9736)

    منشور في 2025
    "…When the height is 2.5m and above, the windbreak efficiency is greater than 90%, and the windbreak effect is significantly improved. (2) The change of sand barrier height has a significant effect on the windbreak efficiency between the second and third sand barriers. (3) Among the three sand-blocking fences, when the height of the sand-blocking fence is 2.5m, the thickness of the sand is 50.51% and 58.33% higher than that of the 2m high sand-blocking fence, and the sand-blocking effect is the most significant. …"
  7. 1307

    Antibodies used in this study. حسب Kevin J. Kokesh (19859571)

    منشور في 2024
    "…Protein kinase C (PKC) activity was greater in the CF cells compared to the non-CF cells, but the activity was significantly attenuated in both cell types after infection with <i>M</i>. …"
  8. 1308

    Time and flowrate used for proteomics. حسب Kevin J. Kokesh (19859571)

    منشور في 2024
    "…Protein kinase C (PKC) activity was greater in the CF cells compared to the non-CF cells, but the activity was significantly attenuated in both cell types after infection with <i>M</i>. …"
  9. 1309

    S1 Graphical abstract - حسب Kevin J. Kokesh (19859571)

    منشور في 2024
    "…Protein kinase C (PKC) activity was greater in the CF cells compared to the non-CF cells, but the activity was significantly attenuated in both cell types after infection with <i>M</i>. …"
  10. 1310
  11. 1311

    Mean parameter values for the selected crops. 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. 1312

    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. …"
  13. 1313

    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. …"
  14. 1314

    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. …"
  15. 1315

    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. …"
  16. 1316

    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. …"
  17. 1317

    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. …"
  18. 1318

    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. …"
  19. 1319

    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. …"
  20. 1320

    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. …"