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Modeling and multi-class classification of vibroarthographic signals via time domain curvilinear divergence random forest

Balajee Alphonse, R. Venkatesan, Sudhakar Sengan, K. Kousalya, Amudha Kandasamy, P. Rajendiran

2021Journal of Ambient Intelligence and Humanized Computing35 citationsDOI

Topics & Concepts

Principal component analysisPattern recognition (psychology)Random forestComputer scienceArtificial intelligenceCurvilinear coordinatesSIGNAL (programming language)Joint (building)Time domainInterference (communication)MathematicsComputer visionStructural engineeringEngineeringComputer networkChannel (broadcasting)Programming languageGeometryMuscle activation and electromyography studiesOsteoarthritis Treatment and MechanismsPhonocardiography and Auscultation Techniques
Modeling and multi-class classification of vibroarthographic signals via time domain curvilinear divergence random forest | Litcius