بدائل البحث:
greatest decrease » treatment decreased (توسيع البحث), greater increase (توسيع البحث)
greater decrease » greater increase (توسيع البحث), greater disease (توسيع البحث), rate decreased (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
greatest decrease » treatment decreased (توسيع البحث), greater increase (توسيع البحث)
greater decrease » greater increase (توسيع البحث), greater disease (توسيع البحث), rate decreased (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
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1301
CNN-LSTM action recognition process.
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. …"
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1302
Differences in magnitude and velocity of decay of the different compartments of the viral reservoir.
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. …"
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1303
Simulation datasets.
منشور في 2025"…These results offer significant theoretical guidance for the design and improvement of needle-free injection.…"
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1304
Grid division diagram.
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. …"
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1305
Model calculation diagram.
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. …"
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1306
Grid independence verification.
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. …"
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1307
Antibodies used in this study.
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>. …"
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1308
Time and flowrate used for proteomics.
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>. …"
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1309
S1 Graphical abstract -
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>. …"
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1310
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1311
Mean parameter values for the selected crops.
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. …"
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1312
Performance comparison of ML models.
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. …"
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1313
Comparative data of different soil samples.
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. …"
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1314
Confusion matrix of random forest model.
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. …"
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1315
Sensor value scenario for fuzzy logic algorithm.
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. …"
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1316
Evaluation metrics of selected ML models.
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. …"
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1317
Block diagram of the proposed system.
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. …"
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1318
Chart for applicable amount of fertilizers.
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. …"
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1319
Cost analysis of irrigation controller unit.
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. …"
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1320
Run times of two algorithms.
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. …"