1–12 von 12 Ergebnissen
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    Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

    Khan, Waqar Ahmed / Ma, Hoi-Lam / Ouyang, Xu et al. | Elsevier | 2020
    Schlagwörter: Extreme learning machine , Machine learning

    Modeling irregular small bodies gravity field via extreme learning machines and Bayesian optimization

    Furfaro, Roberto / Barocco, Riccardo / Linares, Richard et al. | Elsevier | 2020
    Schlagwörter: Extreme learning machine

    Predicting weather-induced delays of high-speed rail and aviation in China

    Chen, Zhenhua / Wang, Yuxuan / Zhou, Lei | Elsevier | 2020
    Schlagwörter: Extreme weather event , Machine learning

    A novel parallel series data-driven model for IATA-coded flight delays prediction and features analysis

    Khan, Waqar Ahmed / Chung, Sai-Ho / Eltoukhy, Abdelrahman E.E. et al. | Elsevier | 2023
    Schlagwörter: Extreme learning machine , Imbalance learning

    Modeling M(3000)F2 based on extreme learning machine

    Bai, Hongmei / Feng, Feng / Wang, Jian et al. | Elsevier | 2019
    Schlagwörter: Extreme learning machine

    Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines

    Li, Bing / Xue, Shao-Kai / Fu, Yu-Hui et al. | Elsevier | 2024
    Schlagwörter: Transfer learning , Kernel extreme learning machine

    Improved adaptive control for wing rock via fuzzy neural network with randomly assigned fuzzy membership function parameters

    Rong, Hai-Jun / Han, Sai / Bai, Jian-Ming et al. | Elsevier | 2014
    Schlagwörter: Online sequential fuzzy extreme learning machine

    An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction

    Nguyen, Son / Fu, Xiuju / Ogawa, Daichi et al. | Elsevier | 2023
    Schlagwörter: Extreme gradient boosting , Machine learning

    Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation

    Grigorev, Artur / Mihaita, Adriana-Simona / Lee, Seunghyeon et al. | Elsevier | 2022
    Schlagwörter: Machine learning , Extreme-boosted decision-trees

    An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

    Ma, Zhengjing / Mei, Gang / Cuomo, Salvatore | Elsevier | 2021
    Schlagwörter: Deep learning , Support Vector Machine , eXtreme Gradient Boosting

    Reduced-order prediction of unsteady spatial-temporal aerodynamics in a turbine cascade

    Qiao, Tianyang / Hu, Chenxing / Yang, Ce | Elsevier | 2024
    Schlagwörter: Machine Learning , Extreme Gradient boosting