Toward the balance between computational cost and model performance for the void detection of concrete-filled steel tubular structure using one-dimensional Mel-frequency cepstral coefficients and ensemble machine learning
Zhouhui Shen, Dongdong Chen, Liang Zhao, Yang Wei
Topics & Concepts
Mel-frequency cepstrumArtificial intelligenceComputer scienceEnsemble learningPattern recognition (psychology)Feature extractionPoolingRandom forestArtificial neural networkSupport vector machineConvolutional neural networkEnsemble forecastingAlgorithmMachine learningGeotechnical Engineering and Underground StructuresGeophysical Methods and ApplicationsStructural Health Monitoring Techniques