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    Modeling the fuel flow-rate of transport aircraft during flight phases using genetic algorithm-optimized neural networks

    Baklacioglu, Tolga | Elsevier | 2015
    Schlagwörter: Fuel flow-rate prediction , Genetic algorithms , Learning algorithms

    Traffic flow evolution effects to nitrogen dioxides predictability in large metropolitan areas

    Vlahogianni, Eleni I. / Golias, John C. / Ziomas, Ioannis C. | Elsevier | 2011
    Schlagwörter: Nitrogen dioxide prediction , Modular prediction genetic algorithms

    Real-time traffic network state estimation and prediction with decision support capabilities: Application to integrated corridor management

    Ph.D. Hashemi, Hossein / Ph.D. Abdelghany, Khaled F. | Elsevier | 2016
    Schlagwörter: State estimation and prediction , Genetic algorithms

    Short-term traffic forecasting: Where we are and where we’re going

    Vlahogianni, Eleni I. / Karlaftis, Matthew G. / Golias, John C. | Elsevier | 2014
    Schlagwörter: Prediction models , Responsive algorithms

    A data-driven, kinematic feature-based, near real-time algorithm for injury severity prediction of vehicle occupants

    Wang, Qingfan / Gan, Shun / Chen, Wentao et al. | Elsevier | 2021
    Schlagwörter: Prediction models , Machine-learning algorithms

    An integrated lane change prediction model incorporating traffic context based on trajectory data

    Xue, Qingwen / Xing, Yingying / Lu, Jian | Elsevier | 2022
    Schlagwörter: Lane change prediction , Machine learning algorithms

    Modelling human health vulnerability using different machine learning algorithms in stone quarrying and crushing areas of Dwarka river Basin, Eastern India

    Mandal, Indrajit / Pal, Swades | Elsevier | 2020
    Schlagwörter: Machine learning algorithms , Ensemble prediction

    Predicting demand for air taxi urban aviation services using machine learning algorithms

    Rajendran, Suchithra / Srinivas, Sharan / Grimshaw, Trenton | Elsevier | 2021
    Schlagwörter: Demand prediction , Machine learning algorithms

    An integrated methodology for real-time driving risk status prediction using naturalistic driving data

    Shangguan, Qiangqiang / Fu, Ting / Wang, Junhua et al. | Elsevier | 2021
    Schlagwörter: Driving risk status prediction , Machine learning algorithms

    Hierarchical fuzzy rule-based system optimized with genetic algorithms for short term traffic congestion prediction

    Zhang, Xiao / Onieva, Enrique / Perallos, Asier et al. | Elsevier | 2014
    Schlagwörter: Traffic congestion prediction , Genetic algorithms , Congestion forecasting

    The uneven geography of US air traffic delays: Quantifying the impact of connecting passengers on delay propagation

    Sismanidou, Athina / Tarradellas, Joan / Suau-Sanchez, Pere | Elsevier | 2021
    Schlagwörter: Delay prediction , Machine learning algorithms

    Sustainable aircraft design — A review on optimization methods for electric propulsion with derived optimal number of propulsors

    Pelz, Peter F. / Leise, Philipp / Meck, Marvin | Elsevier | 2021
    Schlagwörter: Distributed evolutionary algorithms in Python , Expectation improvement

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