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Showing 141 - 160 results of 538 for search 'power selection coefficient', query time: 0.15s Refine Results
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    Fault analysis and prediction of power distribution networks on 11kV Feeders: A case study of Eleweeran and Poly Road 11kV Feeders, Abeokuta by Ayodeji Okubanjo, Ajibola Oyedejı, Grace Olasunkanmı

    Published 2020-06-01
    “…Faults data, between 2014 and 2018, are collected for selected feeders using fault log books. Trend analysis of faults data is accomplished using MATLAB software with associated statistical measures (mean median mode, standard deviation, coefficient of correlation) determined. …”
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    Article
  4. 144

    Measurement and Analysis of Local Average Power According to Averaging Length Changes of 3, 6, 10, and 17 GHz in an Indoor Corridor Environment by Seong-Hun Lee, Byung-Lok Cho

    Published 2023-01-01
    “…This study measures and analyzes the local average power for line-of-sight (LOS) and non-line-of-sight (NLOS) paths according to the averaging length in an indoor corridor environment. …”
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  5. 145

    Wavelet Multiresolution Analysis-Based Takagi–Sugeno–Kang Model, with a Projection Step and Surrogate Feature Selection for Spectral Wave Height Prediction by Panagiotis Korkidis, Anastasios Dounis

    Published 2025-08-01
    “…Comparative evaluations against powerful artificial intelligence models, using regression metrics and hypothesis test, underscore the effectiveness of the proposed methodology.…”
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    Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging by Damrongvudhi Onwimol, Pongsan Chakranon, Kris Wonggasem, Papis Wongchaisuwat

    Published 2025-06-01
    “…To simplify the analysis and reduce computational complexity, a subset of key spectral wavelengths was selected using a successive projection algorithm. Deep learning models were trained on these selected wavelengths to directly learn patterns from the raw spectral data. …”
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    Article
  10. 150

    Research on ocean buoy attitude prediction model based on multi-dimensional feature fusion by Yingjie Liu, Yingjie Liu, Chunlin Ning, Chunlin Ning, Chunlin Ning, Chunlin Ning, Qianran Zhang, Guozheng Yuan, Chao Li

    Published 2024-11-01
    “…The Recursive Feature Elimination with Cross-Validation (RFECV) algorithm is employed to select the optimal feature subset from a large number of raw features. …”
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    Article
  11. 151

    A hybrid model for short-term offshore wind power prediction combining Kepler optimization algorithm with variational mode decomposition and stochastic configuration networks by Bingbing Yu, Yonggang Wang, Jun Wang, Yuanchu Ma, Wenpeng Li, Weigang Zheng

    Published 2025-07-01
    “…Subsequently, permutation entropy (PE) is employed to order and reconstruct the decomposed wind power subsequences, with the selection of input features by the maximal information coefficient (MIC) and autocorrelation function (ACF). …”
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  12. 152

    Increasing reliability of traction electric motors of diesel locomotives taking into account thermophysical parameters of insulation and armature winding conductors by V. I. Kiselev, T. O. Vakhromeeva, A. I. Fedyanin

    Published 2022-09-01
    “…The issue of ensuring the operable state of the DC traction motor is relevant due to its large-scale use on diesel locomotives, including modern powerful motors, operating on lines with increased train masses. …”
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    Optimizing the core loading pattern and fuel composition in a hexagonal small modular nuclear reactor via ANN-PSO approach by G.R. Ansarifar, M.R. Karimi, H. Zayermohammadi Rishehri

    Published 2025-06-01
    “…Calculations were repeated under both Clean-Cold and Hot Full Power (HFP) conditions for each model. To examine different aspects of reactor performance, the concentration of the gadolinia absorber was varied, and its impact on parameters such as Temperature Coefficients (TCs), Power Peaking Factors (PPFs), and excess reactivity was investigated. …”
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    Current trends of characterization techniques for PVDF and related composite piezoelectric materials for nanogenerator by Sakti Prasanna Muduli, Loree Lipsa, Sabyasachi Parida

    Published 2025-07-01
    “…The core section compares piezoelectric coefficient measurements with piezoelectric force microscopy for bulk and nanomaterials. …”
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    Article
  20. 160

    Increasing the wear resistance of plunger pairs of high-pressure fuel pumps using extreme pressure additives by D.D. Marchenko, K.S. Matvyeyeva, V.M. Kurepin

    Published 2024-12-01
    “…The results have been obtained for selecting the component composition of the additive in diesel fuel and recommendations for using the extreme pressure additive in diesel fuel have been developed.…”
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    Article