Abstract: The current mainstream time series prediction methods exhibit commendable accuracy in prediction, but they often lack interpretability. One approach to address this issue is through the ...
Abstract: Data augmentation is vital in deep learning for enhancing model robustness by artificially expanding training datasets. However, advanced methods like CutMix blend images and assign labels ...
BACKGROUND AND OBJECTIVES: Primary dysmenorrhea (PD) is a common gynaecological disorder characterized by pain in the abdominal region without pelvic disease. Evidence suggests that PD-related pain ...
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