Search alternatives:
lighter decrease » slight decrease (Expand Search), slightly decreases (Expand Search), greater decrease (Expand Search)
higher decrease » higher degree (Expand Search), higher degrees (Expand Search), highest increase (Expand Search)
linear decrease » linear increase (Expand Search)
lighter decrease » slight decrease (Expand Search), slightly decreases (Expand Search), greater decrease (Expand Search)
higher decrease » higher degree (Expand Search), higher degrees (Expand Search), highest increase (Expand Search)
linear decrease » linear increase (Expand Search)
-
21
-
22
Optical coherence tomography angiography measurements in each group with age.
Published 2023Subjects: -
23
-
24
Scatter plots showing the relationships of GC-IPL thickness and VD with age.
Published 2023Subjects: -
25
-
26
-
27
-
28
-
29
-
30
-
31
Linear regression analysis for predictors of depressive symptoms (PHQ-9) (<i>n</i> = 2,394).
Published 2023Subjects: -
32
-
33
-
34
-
35
-
36
-
37
-
38
STL Linear Combination Forecast Graph.
Published 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. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”
-
39
-
40