Abstract: Preprocessing methods are important in enhancing prediction performance for time-series administrative data. This study underscores the importance of preprocessing methods by comparing two ...
Artificial intelligence is reshaping modern medicine at an unprecedented pace. Predictive models now rival or exceed traditional clinical tools in accuracy, ...
Thus, there is a growing demand for advanced and automated approaches to streamline the classification process. Objective: This study aimed to develop and validate an intelligent system for ...
Abstract: For image-related deep learning tasks, the first step often involves reading data from external storage and performing preprocessing on the CPU. As accelerator speed increases and the number ...
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