بدائل البحث:
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
greater decrease » greatest decrease (توسيع البحث), greater increase (توسيع البحث), greater disease (توسيع البحث)
green decrease » mean decrease (توسيع البحث), teer decrease (توسيع البحث), greatest decrease (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
greater decrease » greatest decrease (توسيع البحث), greater increase (توسيع البحث), greater disease (توسيع البحث)
green decrease » mean decrease (توسيع البحث), teer decrease (توسيع البحث), greatest decrease (توسيع البحث)
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1221
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1222
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1223
MXene/Bi<sub>2</sub>O<sub>3</sub> Nanocomposites as Supercapacitors for Portable Electronic Devices
منشور في 2025الموضوعات: -
1224
Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020).
منشور في 2025"…<p>Areas with increasing (green) or decreasing (red) vegetation, based on the Mann-Kendall test and statistically significance values (<i>p</i> < 0.05) for DJF (December-February), MAM (March-May), JJA (June-August) and SON (September-November). …"
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1225
Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020).
منشور في 2025"…<p>Areas with increasing (green) or decreasing (red) vegetation, based on the Mann-Kendall test and statistically significance values (<i>p</i> < 0.05) for DJF (December-February), MAM (March-May), JJA (June-August), and SON (September-November). …"
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1226
S1 File -
منشور في 2025"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
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1227
Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020) by countries and territories.
منشور في 2025"…<p>Areas with increasing (green) or decreasing (red) vegetation, based on the Mann-Kendall test and statistically significance values (<i>p</i> < 0.05) for December-February (DJF), March-May (MAM), June-August (JJA) and September-November (SON). …"
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1228
Confusion matrix for ClinicalBERT model.
منشور في 2025"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
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1229
Confusion matrix for LastBERT model.
منشور في 2025"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
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1230
Student model architecture.
منشور في 2025"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
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1231
Configuration of the LastBERT model.
منشور في 2025"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
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1232
Confusion matrix for DistilBERT model.
منشور في 2025"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
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1233
ROC curve for LastBERT model.
منشور في 2025"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
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1234
Sample Posts from the ADHD dataset.
منشور في 2025"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
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1235
Top-level overview for ADHD classification study.
منشور في 2025"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
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1236
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1237
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1238
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1239
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1240