Search alternatives:
026 decrease » _ decrease (Expand Search), nn decrease (Expand Search)
c decrease » c decreased (Expand Search), _ decrease (Expand Search), rc decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
026 decrease » _ decrease (Expand Search), nn decrease (Expand Search)
c decrease » c decreased (Expand Search), _ decrease (Expand Search), rc decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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17481
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17482
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17483
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17484
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17485
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17486
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17487
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17488
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17489
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17490
Balanced Dataset Distribution.
Published 2025“…We surpassing other models as such, CNN, VGG19, ResNet50.</p></div>…”
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17491
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17492
<b>Warming alters plankton body-size distributions in a large field experiment</b>
Published 2024“…We addressed this gap by conducting an extensive freshwater mesocosm experiment across 36 large field mesocosms exposed to intergenerational warming treatments of up to +8°C above ambient levels. We found a nonlinear decrease in the overall mean body size of zooplankton with warming, with a 57% reduction at +8°C. …”
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17493
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17494
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17495
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17496
Missing puzzle pieces of time-restricted-eating (TRE) as a long-term weight-loss strategy in overweight and obese people? A systematic review and meta-analysis of randomized contro...
Published 2023“…Pooled results showed that subjects on TRE regimen (> 4 weeks) achieved a significant weight loss in comparison with unrestricted time regimen (weighted mean difference: −2.32%; 95% CI: −3.50, −1.14%; <i>p</i> < 0.01); however, weight loss was mainly attributed to the loss of lean mass rather than fat mass. …”
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17497
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17498
Structure diagram of ensemble model.
Published 2024“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”
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17499
Fitting formula parameter table.
Published 2024“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”
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17500
Test plan.
Published 2024“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”