بدائل البحث:
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
set decrease » step decrease (توسيع البحث), we decrease (توسيع البحث), sizes decrease (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
set decrease » step decrease (توسيع البحث), we decrease (توسيع البحث), sizes decrease (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
-
101
The minimal data set 20.
منشور في 2024"…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …"
-
102
The minimal data set 5.
منشور في 2024"…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …"
-
103
The minimal data set 17.
منشور في 2024"…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …"
-
104
The minimal data set 19.
منشور في 2024"…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …"
-
105
The minimal data set 4.
منشور في 2024"…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …"
-
106
The minimal data set 13.
منشور في 2024"…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …"
-
107
The minimal data set 7.
منشور في 2024"…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …"
-
108
Testing set error.
منشور في 2025"…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …"
-
109
-
110
-
111
-
112
-
113
ECoG timescales decrease during spatial attention.
منشور في 2025"…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …"
-
114
-
115
-
116
-
117
-
118
-
119
-
120