Showing 1 - 5 results of 5 for search '(((( 50 pp decrease ) OR ( 5 ppm decrease ))) OR ((( _ nn decrease ) OR ( _ knn decrease ))))', query time: 0.09s Refine Results
  1. 1

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

    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. …”
  2. 2

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

    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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  3. 3

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

    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. …”
  4. 4

    Aortic valve function post-replacement of severe aortic stenosis by transcatheter procedure versus surgery: a systematic review and metanalysis by Charbel Abi Khalil (14150028)

    Published 2021
    “…TAVR was associated with 37% (95% CI [0.51–0.78) mean RR reduction of post-procedural PPM, a decrease that was not affected by the surgical risk at inclusion, neither by the transcatheter heart valve system. …”
  5. 5

    High-Performance Acetic Acid Sensing Using Cerium-MoS₂ Composite for Beverages and Food Processing Industry by E. Safamariyam (22330186)

    Published 2025
    “…Furthermore, the repeatability of the Ce<sub>0.6</sub> -MoS<sub>2</sub> sensor was assessed over 30 days, and a marginal decrease of 5% in response was observed from day 1 to day 30.…”