Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...
Background Tobacco use imposes significant economic burden, particularly in low and middle-income countries, diverting ...
Abstract: To improve the reliability and accuracy of UAV fault diagnosis under complex sensor dynamics and class imbalance, this paper proposes a multi-scale temporal sampling and deep ensemble ...
Stratified sampling is used to select a sample that is representative of different groups. If the groups are of different sizes, the number of items selected from each group will be proportional to ...
Abstract: We propose a method for estimating the zero-dispersion wavelength (ZDW) of an optical fiber independently of fiber parameters and for tuning the emission wavelength for the ZDW to suppress ...
A high-level module for Keras-like training with callbacks, constraints, and regularizers. Comprehensive data augmentation, transforms, sampling, and loading Utility tensor and variable functions so ...
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