Research on energy-saving adaptive optimization of hybrid electric vehicle based on improved dynamic programming and control rule extraction. [PDF]
Zhao R, Tang L.
europepmc +1 more source
Feature-Based Normality Models for Anomaly Detection. [PDF]
Teh HY, Wang KI, Kempa-Liehr AW.
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The Signal in the Extreme: A Systematic Outlier Framework Identifies Discrete Immunometabolic Subtypes in Human and Cellular Models. [PDF]
Garcia-Coste JJ +7 more
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Early damage detection in bridges using a variational autoencoder-based hybrid unsupervised learning framework. [PDF]
Pakzad SS, Masoodi AR.
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Outliers and anomalies in training and testing datasets for AI-powered morphometry-evidence from CT scans of the spleen. [PDF]
Vasilev Y +8 more
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Machine learning-based strategies for improving healthcare data quality: an evaluation of accuracy, completeness, and reusability. [PDF]
Jarmakovica A.
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EODA: A three-stage efficient outlier detection approach using Boruta-RF feature selection and enhanced KNN-based clustering algorithm. [PDF]
Kumar S +7 more
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Advancing computational evaluation of adsorption via porous materials by artificial intelligence and computational fluid dynamics. [PDF]
Mhohamdi H +9 more
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DynaBiome: interpretable unsupervised learning of gut microbiome dysbiosis via temporal deep models. [PDF]
Qureshi A +5 more
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Anomaly-based threat detection in smart health using machine learning. [PDF]
Tabassum M +5 more
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