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Multi-task hybrid dictionary learning for vehicle classification in sensor networks
Published 2018-11-01Get full text
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ICD-10 Classification in the Practice of Emergency Medical Teams: New Insights
Published 2024-01-01Get full text
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Sleep stages classification based on feature extraction from music of brain
Published 2025-01-01Get full text
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Classification and Statistical Trend Analysis in Detecting Glaucomatous Visual Field Progression
Published 2019-01-01Get full text
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Analysis of the Tick Rule and Bulk Volume Classification algorithms in the Brazilian stock market
Published 2023-01-01“…This study aimed to compare the performance of Tick Rule (TR) and Bulk Volume Classification (BVC) models in classifying assets traded on the Brazilian stock exchange (B3) and indicate which one performs better as an investment decision tool. …”
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Classification of Autism Disorder Severity Using Fuzzy Methods Based on Soft Computing
Published 2023-03-01Get full text
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Masked Modeling-Based Ultrasound Image Classification via Self-Supervised Learning
Published 2024-01-01Get full text
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Automatic Rock Classification Algorithm Based on Ensemble Residual Network and Merged Region Extraction
Published 2022-01-01Get full text
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Video Classification and Adaptive QoP/QoS Control for Multiresolution Video Applications on IPTV
Published 2012-01-01Get full text
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New Fuzzy Support Vector Machine for the Class Imbalance Problem in Medical Datasets Classification
Published 2014-01-01Get full text
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Application of Big Data Unbalanced Classification Algorithm in Credit Risk Analysis of Insurance Companies
Published 2022-01-01Get full text
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Age group classification based on optical measurement of brain pulsation using machine learning
Published 2025-01-01Get full text
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Enhanced hybrid attention deep learning for avocado ripeness classification on resource constrained devices
Published 2025-01-01“…Extensive experiments demonstrate that the transfer learning HACNN with the EfficienctNet-B3 model significantly outperforms conventional models regarding the performance and accuracy of 96.18%, 92.64%, and 91.25% for train, validation, and test models, respectively. …”
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