Research ArticleOpen accessIn the abstractThree-Phase Shunt Active Power FilterMoleykutty George, Kartik Prasad BasuActive power filters have been widely used for harmonic elimination. The performance of a conventional three-phase shunt Active Power Filter (APF) using Synchronous Detection Method (SDM) has been compared with Nonlinear Autoregressive-Moving Average (NARMA)-L2 based APF. The novelty of this study lies in the application of NARMA-L2 control to generate the amplitude of the reference supply current required by the … …American Journal of Applied Sciences, Vol. 5, Issue 8 · 31 Aug 2008 · 7,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractFault Reconstruction Using Sliding Mode ObserversK. Hakiki, B. Mazari, A. Liazid, S. DjaberIn this study, a nonlinear sliding observer is proposed to explicitly reconstruct fault signals. The novelty lies in the application of the equivalent output injection concept. Previous work in the area of fault detection has used disruption of the sliding motion to detect faults. The aim of the present study was to design a robust observer that slides in the … …American Journal of Applied Sciences, Vol. 3, Issue 1 · 31 Jan 2006 · 6,680 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordApplication of Machine Learning for the Detection of Depression and Mindfulness as a Mitigation MethodSantiago Domingo Moquillaza Henriquez, Liliana Ruth Huamán Rondón et al.Depression is a global mental health problem with various causes. Nowadays, with Artificial Intelligence, it can be predicted in order to take preventive measures, whether at a psychotherapeutic or pharmacological level. This research, based on a survey conducted, detects depression using logistic regression with a 91% fit to the ROC-AUC model, accuracy of 0.839188, precision 0.851354. In addition, a study … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,216 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA NOVELTY APPROACH OF SPATIAL CO-OCCURRENCE AND DISCRETE SHEARLET TRANSFORM BASED TEXTURE CLASSIFICATION USING LPBOOSTING CLASSIFIERC. Vivek, S. AudithanRecently, the research towards Brodatz database for texture classification done at considerable amount of study has been published, the effective classification are vulnerable towards for training and test sets. This study presents the novel texture classification method based on feature descriptor, called spatial co-occurrence with discrete shearlet transformation through the LPboosting classification. It can be considered as a frame through … …Journal of Computer Science, Vol. 10, Issue 5 · 11 Jan 2014 · 6,602 accessesView PDFCite