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decrease » increase (Expand Search)
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Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems
Published 2023“…The last retained features from the proposed PSO-based methods are fed to the neural network (NN) classifier. The proposed methodology improves the diagnosis abilities, reduces the computation time, and decreased the storage cost. …”
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Design and analysis of PV fed high-voltage gain DC-DC converter using PI and NN controllers
Published 2022“…The converter's switching pulse can be adjusted by PI or NN. The entire system was designed in MATLAB/ Simulink tool.…”
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Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers
Published 2020“…LSTM provided the best results with an accuracy of 95% for predicting the most appropriate power rating (PR) for EVCS, followed by RF, DT, DNN, SVM, KNN, and NB. Additionally, LSTM was also the model with the smallest error rate, at a value of ±0.7%, followed by RF, DT, KNN, SVM, DNN, and NB. …”
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Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy
Published 2024“…The FCN shows a significant decrease in most of the right frontal areas. Five different machine learning classifiers are employed to differentiate between two levels of stress resulting in impressive classification accuracy rates: 96.44% with-nearest neighbor (KNN), 95.52% with linear discriminant analysis (LDA), 88.71% with Naïve Bayes (NB), 87.41 with decision trees (DT) and 96.48% with Support Vector Machine (SVM). …”
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Effect of the stretch rate during uniaxial testing on the mechanical properties of prolene
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Evaluation of Lycopus uniflorus water extract for anti-inflammatory, anti-ulcerogenic and antioxidant activities
Published 2009“…Results showed that 50mg/kg and 100mg/kg caused 20.87 and 80.10%, respectively, compared to 41.70% for cimetidine at 11.5mg/kg BW dose. …”
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