Synonyme wurden verwendet für: features
Suche ohne Synonyme: keywords:("features")

1–20 von 36 Ergebnissen
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    The fifth base: A natural feature of dinoflagellate DNA

    Galleron, Colette | Online Contents | 1984
    Schlagwörter: Natural Feature

    A green alga with minimal eukaryotic features:Nanochlorum eucaryotum

    Zahn, Rudolf K. | Online Contents | 1984
    Schlagwörter: Eukaryotic Feature

    Ultrastructural and biochemical nuclear aspects of Eukaryote classification: Independent evolution of the dinoflagellates as a sister group of the actual Eukaryotes?

    Herzog, Michel / Von Boletzky, Sigurd / Soyer, Marie-Odile | Online Contents | 1984
    Schlagwörter: Functional Feature

    Factors influencing injury severity of motor vehicle–crossing pedestrian crashes in rural Connecticut

    Zajac, Sylvia S / Ivan, John N | Elsevier | 2002
    Schlagwörter: Roadway features

    Prediction of accidents at full green and green arrow traffic lights in Switzerland with the aid of configuration-specific features

    Hubacher, Markus / Allenbach, Roland | Elsevier | 2003
    Schlagwörter: Configuration-specific features

    The guessability of traffic signs: Effects of prospective-user factors and sign design features

    Ng, Annie W.Y. / Chan, Alan H.S. | Elsevier | 2007
    Schlagwörter: Sign design features

    Hypothalamic-pituitary-adrenal axis response to stress in male DUI recidivists

    Couture, Sophie / Brown, Thomas G. / Ouimet, Marie Claude et al. | Elsevier | 2007
    Schlagwörter: Antisocial features

    The effects of driver factors and sign design features on the comprehensibility of traffic signs

    Ng, Annie W.Y. / Chan, Alan H.S. | Elsevier | 2008
    Schlagwörter: Sign features

    Investigating the multi-causal and complex nature of the accident causal influence of construction project features

    Manu, Patrick A. / Ankrah, Nii A. / Proverbs, David G. et al. | Elsevier | 2011
    Schlagwörter: Construction project features

    Support vector machine in crash prediction at the level of traffic analysis zones: Assessing the spatial proximity effects

    Dong, Ni / Huang, Helai / Zheng, Liang | Elsevier | 2015
    Schlagwörter: Spatial weight features , Correlation-based feature selector

    Identification of common features of vehicle motion under drowsy/distracted driving: A case study in Wuhan, China

    Chen, Zhijun / Wu, Chaozhong / Zhong, Ming et al. | Elsevier | 2015
    Schlagwörter: Common features

    Driver drowsiness detection based on non-intrusive metrics considering individual specifics

    Wang, Xuesong / Xu, Chuan | Elsevier | 2015
    Schlagwörter: Eye feature

    Feature-specific ski injuries in snow parks

    Carús, Luis / Escorihuela, María | Elsevier | 2016
    Schlagwörter: Feature

    Macro-level safety analysis of pedestrian crashes in Shanghai, China

    Wang, Xuesong / Yang, Junguang / Lee, Chris et al. | Elsevier | 2016
    Schlagwörter: Spatial weight features

    A feature learning approach based on XGBoost for driving assessment and risk prediction

    Shi, Xiupeng / Wong, Yiik Diew / Li, Michael Zhi-Feng et al. | Elsevier | 2019
    Schlagwörter: Feature learning

    Key feature selection and risk prediction for lane-changing behaviors based on vehicles’ trajectory data

    Chen, Tianyi / Shi, Xiupeng / Wong, Yiik Diew | Elsevier | 2019
    Schlagwörter: Feature selection

    Comparison among driving state prediction models for car-following condition based on EEG and driving features

    Yang, Liu / Guan, Wei / Ma, Rui et al. | Elsevier | 2019
    Schlagwörter: Feature extraction

    Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining

    Kong, Xiaoqiang / Das, Subasish / Jha, Kartikeya et al. | Elsevier | 2020
    Schlagwörter: Trip features , Geometric features

    Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review

    Watling, Christopher N. / Mahmudul Hasan, Md / Larue, Grégoire S. | Elsevier | 2020
    Schlagwörter: Features