Search Results - "Bouzara, Kais"

Interval-Valued Reduced RNN for Fault Detection and Diagnosis for Wind Energy Conversion Systems by Mansouri, Majdi, Dhibi, Khaled, Hajji, Mansour, Bouzara, Kais, Nounou, Hazem, Nounou, Mohamed

“…Recurrent neural network (RNN) is one of the most used deep learning techniques in fault detection and diagnosis (FDD) of industrial systems. However, its…”
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Reduced Kernel Random Forest Technique for Fault Detection and Classification in Grid-Tied PV Systems by Dhibi, Khaled, Fezai, Radhia, Mansouri, Majdi, Trabelsi, Mohamed, Kouadri, Abdelmalek, Bouzara, Kais, Nounou, Hazem, Nounou, Mohamed

“…The random forest (RF) classifier, which is a combination of tree predictors, is one of the most powerful classification algorithms that has been recently…”
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A Hybrid Approach for Process Monitoring: Improving Data-Driven Methodologies With Dataset Size Reduction and Interval-Valued Representation by Dhibi, Khaled, Fezai, Radhia, Mansouri, Majdi, Kouadri, Abdelmalek, Harkat, Mohamed-Faouzi, Bouzara, Kais, Nounou, Hazem, Nounou, Mohamed

“…Kernel principal component analysis (KPCA) is a well-established data-driven process modeling and monitoring framework that has long been praised for its…”
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