Litcius/Paper detail

Robust GMM least square twin K-class support vector machine for urban water pipe leak recognition

Mingyang Liu, Yang Jin, Shuaiyong Li, Zhihao Zhou, Endong Fan, Wei Zheng

2022Expert Systems with Applications29 citationsDOI

Topics & Concepts

Support vector machineComputer scienceLeak detectionLeakClass (philosophy)Pattern recognition (psychology)Water pipeSquare (algebra)Artificial intelligenceData miningMachine learningMathematicsEnvironmental scienceEngineeringMechanical engineeringEnvironmental engineeringInletGeometryWater Systems and OptimizationAdvanced Algorithms and ApplicationsGeophysical Methods and Applications
Robust GMM least square twin K-class support vector machine for urban water pipe leak recognition | Litcius