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ISSN 2063-5346
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A HIGHLY EFFICIENT Q-LEARNING MODEL FOR NEUROLOGICAL DISEASE CLASSIFICATION

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Subhendu Kumar Behera¹; P. K. Bharti²; Subhendu Kumar Pani³
» doi: 10.48047/ecb/2023.12.7.360

Abstract

Classification of neurological diseases is a multidomain task, which involves parametric data collection, pre-processing, segmentation, feature extraction, feature selection, classification, and post processing. These tasks require highly efficient algorithms for an effective clinical system design

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