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Abstract: To address the performance degradation of existing eye movement event classification models under noise interference, this paper proposes an iTransformer architecture that integrates ...
Abstract: This paper proposes a novel, non-invasive approach to diagnosing eye anemia using deep learning techniques. Traditional methods, reliant on invasive procedures like venipuncture, are costly ...