Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems by Khaled Dhibi (16891524)

“…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. …”

Design and analysis of PV fed high-voltage gain DC-DC converter using PI and NN controllers by Madisa V.G., Varaprasad

“…When the converter switch comes under active state two capacitors are discharged in series, similarly when the converter switch under inactive state those two capacitors are charged in parallel through the coupled inductor (CI) energy so, to get a high voltage at the converter output side. To reuse the leakage-inductor (LI) energy of the CI with the help of a passive clamp circuit for reducing the voltage stress across the switch, similarly switch has less resistance so conduction losses also decreased. …”
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Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

“…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. …”

Curcumin encapsulated colloidal amphiphilic block co-polymeric nanocapsules by Bechnak, Linda

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1,2,4-Trimethylbenzene Transformation Reaction Compared With Its Transalkylation Reaction With Toluene Over USY Zeolite by Al-Khattaf, H

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Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy by Yahya, Fares

“…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 by Ammouri, A.H.

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Evaluation of Lycopus uniflorus water extract for anti-inflammatory, anti-ulcerogenic and antioxidant activities by Saade, S.

“…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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