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Abstract: When object detection is carried out in settings with sparse and irregular data acquisition, conventional sequencing techniques that depend on continuous tracking or dense observations ...
Abstract: In the field of short-term power load prediction, the current prediction methods have low prediction accuracy. To address this issue, this study introduces level processing method and ...
Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...