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 ...
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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