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Abstract: Effective noise suppression and data quality enhancement are critical in seismic data processing. Over the years, many traditional and deep learning (DL) methods have been proposed and ...
ABSTRACT: Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT ...
Abstract: Named entity tagging is one of the key techniques in natural language processing tasks such as information extraction, answer question and so on. We present a method of Chinese NE tagging ...
This important work investigates cooperative behaviors in adolescents using a repeated Prisoner's Dilemma game. The computational modeling approach used in the study is solid and rigorous. The work ...
Temperature forecasting is highly accurate using time-based features and weather variables, with Random Forest achieving R² of 0.969. The relationship between actual and perceived temperature is ...