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A Target Domain-Specific Classifier Weight Partial Transfer Adversarial Network for Bearing Fault Diagnosis
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Variables Selection from the Patterns of the Features Applied to Spectroscopic Data—An Application Case
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Implications of irrigation water quality in tropical farms
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Morphological Neuroimaging Biomarkers for Tinnitus: Evidence Obtained by Applying Machine Learning
Published 2019-01-01“…The area under the curve (AUC) and accuracy were used to assess the performance of the classification model. As a result, a combination of 13 cortical/subcortical brain regions was found to have the highest classification accuracy for effectively differentiating patients with tinnitus from healthy subjects. …”
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A novel high-resolution eco-functional vegetation mapping of coastal dunes
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E3 Ubiquitin Ligases: Potential Therapeutic Targets for Skeletal Pathology and Degeneration
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