يعرض 1 - 11 نتائج من 11 نتيجة بحث عن '(( 50 pp decrease ) OR ((((( _ nn decrease ) OR ( _ knn decrease ))) OR ( 50 ng decrease ))))', وقت الاستعلام: 0.11s تنقيح النتائج
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    Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems حسب Khaled Dhibi (16891524)

    منشور في 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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    Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers حسب Mostafa Shibl (18810412)

    منشور في 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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    Dynamics of Neisseria gonorrhoeae transmission among female sex workers and clients: A mathematical modeling study حسب Houssein H., Ayoub

    منشور في 2024
    "…Increasing condom use from 10 % to 50 % lowers NG prevalence among FSWs, clients, and their spouses from 12.2 % to 6.4 %, 1.2 % to 0.5 %, and 0.4 % to 0.2 %, respectively. …"
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    article
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    Association Between Three-Months Vitamin D Supplementation and Depressive Symptomatology incidence among Saudi Arabian Adults حسب Khaddaj, Rashel

    منشور في 2022
    "…After three-months supplementation of 50,000IU, vitamin D levels increased to 51.41 ±11.27ng/ml in the supplemented group and to24.95 ±6.45ng/ml in placebo group (p=0.00). …"
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    masterThesis
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    Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy حسب Yahya, Fares

    منشور في 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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    article
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