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Showing 1 to 4 of 4 for “"OCSVM"”.

  1. Automated structural damage detection using one class machine learning

    … which uses the one-class support vector machine (OCSVM) for damage detection and localisation is proposed. The OCSVM is a nonparametric machine learning method which can accurately classify new data points based only on data from the baseline condition of the structure. This methodology combines …

    mit Repository record for Automated structural damage detection using one class machine learning (opens in a new tab)

  2. Data Analytics and Machine Learning Applications in Fermentation Processes and Molecular Property Prediction

    … including one-class support vector machine (OCSVM) and autoencoders (AEs), optimize as many hyperparameters as possible, and choose an open, user-friendly, and powerful Python platform called Optuna, a software platform to enable the parallel execution of hyperparameter optimization (HPO). We …

    vt Repository record for Data Analytics and Machine Learning Applications in Fermentation Processes and Molecular Property Prediction (opens in a new tab)

  3. Data analytics for stochastic control and prognostics in cyber-physical systems

    … Then, another cyber fault prognosis based on OCSVM is proposed"--Abstract, page iv.

    must-thes Repository record for Data analytics for stochastic control and prognostics in cyber-physical systems (opens in a new tab)

  4. Anomaly Detection for Smart Infrastructure: An Unsupervised Approach for Time Series Comparison

    … process of a One Class Support Vector Machine (OCSVM) coupled with a Kernel Density Estimation (KDE) technique. The average Recall and Precision achieved on the same case study through this frame work was 74% and 57%. In comparison to the first, the second framework does not perform as well. …

    vt Repository record for Anomaly Detection for Smart Infrastructure: An Unsupervised Approach for Time Series Comparison (opens in a new tab)