Synonyme wurden verwendet für: learning
Suche ohne Synonyme: keywords:(learning)

1–50 von 67 Ergebnissen
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    Flight test flutter prediction using neural networks

    Crowther, W.J. / Cooper, J.E. | Tema Archiv | 2001
    Schlagwörter: Lernprozess

    Learning efficient haptic shape exploration with a rigid tactile sensor array

    Freier Zugriff
    Fleer, Sascha / Moringen, Alexandra / Klatzky, Roberta L. et al. | BASE | 2020
    Schlagwörter: Learning , Machine learning algorithms , Machine learning

    Warning systems triggered by trains increase flight-initiation times of wildlife

    Backs, Jonathan A.J. / Nychka, John A. / St. Clair, Colleen Cassady | Elsevier | 2020
    Schlagwörter: Learning

    Estimating wildlife strike costs at US airports: A machine learning approach

    Altringer, Levi / Navin, Jordan / Begier, Michael J. et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Ausbilden auf hohem Niveau

    Komplexer Lernstoff lässt sich in Blended-Learning-Modulen aufbereiten
    Hofmann, Ursula | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Machine learning approach to ship fuel consumption: A case of container vessel

    Uyanık, Tayfun / Karatuğ, Çağlar / Arslanoğlu, Yasin | Elsevier | 2020
    Schlagwörter: Machine learning

    Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu

    Tu, Meiting / Li, Wenxiang / Orfila, Olivier et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions

    Wu, Xinyi / Tao, Tao / Cao, Jason et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

    Fan, Pengfei / Song, Guohua / Zhai, Zhiqiang et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Non-linear associations between the built environment and the physical activity of children

    Huang, Xiaoyan / Lu, Gaigai / Yin, Jiangbin et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Kennzahlen per Intranet

    Becker, Egbert | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Impact of an electrified parkade on the built environment: An unsupervised learning approach

    Fernández, Julián A. / Herrera, Omar E. / Mérida, Walter | Elsevier | 2019
    Schlagwörter: Unsupervised learning

    Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction

    Gao, Kun / Yang, Ying / Qu, Xiaobo | Elsevier | 2021
    Schlagwörter: Machine learning

    Nonlinear effects of the built environment on metro-integrated ridesourcing usage

    Jin, Tanhua / Cheng, Long / Zhang, Xucai et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Machine learning estimates of plug-in hybrid electric vehicle utility factors

    Goebel, David / Plötz, Patrick | Elsevier | 2019
    Schlagwörter: Machine learning

    Modeling time-of-day car use behavior: A Bayesian network approach

    Li, Dawei / Miwa, Tomio / Morikawa, Takayuki | Elsevier | 2016
    Schlagwörter: Machine learning

    A post-disaster resource allocation framework for improving resilience of interdependent infrastructure networks

    Sun, Jingran / Zhang, Zhanmin | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    Using explainable machine learning to understand how urban form shapes sustainable mobility

    Wagner, Felix / Milojevic-Dupont, Nikola / Franken, Lukas et al. | Elsevier | 2022
    Schlagwörter: Explainable machine learning

    Sharing behavior in ride-hailing trips: A machine learning inference approach

    Taiebat, Morteza / Amini, Elham / Xu, Ming | Elsevier | 2021
    Schlagwörter: Machine learning inference

    Spatial disparity of individual and collective walking behaviors: A new theoretical framework

    Jiang, Yuxiao / Chen, Long / Grekousis, George et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Flow-based unit is better: exploring factors affecting mid-term OD demand of station-based one-way electric carsharing

    Cheng, Jiaqi / Chen, Xiaohong / Ye, Jianhong et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Joint associations of environmental and sociodemographic attributes with active and sedentary travel

    Chandrabose, Manoj / Rahim Mohammad Forkan, Abdur / Abe, Takumi et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Gender differences in active travel among older adults: Non-linear built environment insights

    Yang, Yongjiang / Sasaki, Kuniaki / Cheng, Long et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Illustrating nonlinear effects of built environment attributes on housing renters’ transit commuting

    Ding, Chuan / Liu, Tiantian / Cao, Xinyu et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    A purely reactive navigation scheme for dynamic environments using Case-Based Reasoning

    Urdiales, C. / Perez, E.J. / Vazquez-Salceda, J. et al. | Tema Archiv | 2006
    Schlagwörter: Lernen

    Exploring user satisfaction and improvement priorities in electric vehicle segments

    Zhao, Danting / Gao, Jie / Liu, Nieyangzi | Elsevier | 2023
    Schlagwörter: Machine learning

    Using open data and deep learning to explore walkability in Shenzhen, China

    He, Xuan / He, Sylvia Y. | Elsevier | 2023
    Schlagwörter: Deep learning

    Exploring the nonlinear effects of built environment characteristics on customized bus service

    Wang, Jiangbo / Liu, Kai / Wang, De | Elsevier | 2022
    Schlagwörter: Machine learning

    An improved discrete particle swarm optimization algorithm for high-speed trains assembly sequence planning

    Li, Mingyu / Wu, Bo / Yi, Pengxing et al. | Tema Archiv | 2012
    Schlagwörter: Lernen

    Deep collaborative learning model for port-air pollutants prediction using automatic identification system

    Sim, Sunghyun / Park, Jin-Hyoung / Bae, Hyerim | Elsevier | 2022
    Schlagwörter: Deep Collaborative Learning

    A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents

    Liao, Xishun / Wu, Guoyuan / Yang, Lan et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Revisiting residential self-selection and travel behavior connection using a double machine learning

    Ding, Chuan / Wang, Yufan / Cao, Xinyu (Jason) et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors

    Cai, Haiming / Wang, Jiawei / Li, Binliang et al. | Elsevier | 2024
    Schlagwörter: Inverse Reinforcement Learning

    Traffic volume and road network structure: Revealing transportation-related factors on PM2.5 concentrations

    Yu, Chengcheng / Deng, Yongqi / Qin, Zhengtao et al. | Elsevier | 2023
    Schlagwörter: Bayesian machine learning

    Fake it till you make it: Synthetic data for emerging carsharing programs

    Albrecht, Tobias / Keller, Robert / Rebholz, Dominik et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Exploring nonlinear built environment effects on driving with a mixed-methods approach

    Tao, Tao / Næss, Petter | Elsevier | 2022
    Schlagwörter: Machine learning

    A time series clustering based approach for construction of real-world drive cycles

    Ganesh Sundarkumar, G. / B. V., Subramanya Bharadwaj / Munigety, Caleb Ronald et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Spatiotemporal prediction of particulate matter concentration based on traffic and meteorological data

    Yang, Jiayu / Shi, Linchang / Lee, Jaeyoung et al. | Elsevier | 2024
    Schlagwörter: Deep-learning methods

    Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting

    Haase, Enrico | Elsevier | 2022
    Schlagwörter: Machine learning

    Analysis and estimation of energy consumption of electric buses using real-world data

    Zhang, Zhaosheng / Ye, Baolin / Wang, Shuai et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    An Electric Vehicle Transitioning Framework for Public Fleet Planning

    Er Raqabi, El Mehdi / Li, Wenkai | Elsevier | 2023
    Schlagwörter: Machine Learning

    Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling

    Moradi, Ehsan / Miranda-Moreno, Luis | Elsevier | 2020
    Schlagwörter: Machine learning

    Individual and synergistic associations among transit allowance, land use, and transit commuting

    Sun, Shan / Yang, Shuo / Guo, Liang et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Revealing influences on carsharing users’ trip distance in small urban areas

    Baumgarte, Felix / Keller, Robert / Röhrich, Felix et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Environmental screening model of driving behavior for an electric bus entering and leaving stops

    Zhang, Yali / Fu, Rui / Guo, Yingshi et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    On the electrification of road transportation – A review of the environmental, economic, and social performance of electric two-wheelers

    Weiss, Martin / Dekker, Peter / Moro, Alberto et al. | Elsevier | 2015
    Schlagwörter: Learning rates

    Developing Machine learning models for hyperlocal traffic related particulate matter concentration mapping

    Desai, Salil / Tayarani, Mohammad / Oliver Gao, H. | Elsevier | 2022
    Schlagwörter: Machine Learning

    Spatiotemporal analysis of built environment restrained traffic carbon emissions and policy implications

    Wu, Jishi / Jia, Peng / Feng, Tao et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Transit electrification state of the art: A machine-learning based text mining approach

    Eldeeb, Gamal / Mohamed, Moataz | Elsevier | 2022
    Schlagwörter: Machine learning text mining