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61–80 von 259 Ergebnissen
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    Exploring the nonlinear effects of built environment characteristics on customized bus service

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

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

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

    Proposed VR Simulator with Ability to Discriminate Velocity of Approaching Car

    Aoyama, S. / Terata, Y. / Saruta, K. et al. | DataCite | 2016
    Schlagwörter: Collaborative 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

    Taking to the Skies: Developing a Dedicated MSc Course in Aviation Human Factors

    Stedmon, Alex W. / Grant, Rebecca / Harris, Don et al. | Springer Verlag | 2018
    Schlagwörter: Distance learning , Bespoke learning

    Machine Learning Tabulation Scheme for Fast Chemical Kinetics Computation

    Ebrahimi, Khashayar / Patidar, Lalit / Fogla, Navin et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine 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

    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

    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

    Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding

    Rothwell, Benjamin / Rengasamy, Divish / Figueredo, Grazziela P. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

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

    Haase, Enrico | Elsevier | 2022
    Schlagwörter: Machine learning

    A Machine Learning-Genetic Algorithm (ML-GA) Approach for Rapid Optimization Using High-Performance Computing

    Moiz, Ahmed Abdul / Probst, Daniel / Kodavasal, Janardhan et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Misfire Detection Technology with Deep Neural Network Based on Ignition Coil Signals

    Jitsu, Hideo / Kumano, Kengo / Amaya, Kenji et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Review of Advanced Driver Assistance Systems and Their Applications for Collision Avoidance in Urban Driving Scenario

    Narkhede, Manish M. / Chopade, Nilkanth B. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Machine 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

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

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

    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

    A Reduced-Order Modeling Framework for Simulating Signatures of Faults in a Bladed Disk

    Agrawal, Atul / Roy Mahapatra, Debiprosad / Singh, Divya Shyam | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Machine-Learning-Based Emission Models in Gasoline Powertrains—Part 2: Virtual Carbon Monoxide

    Sharpe, Conner / Kubinski, David / Shahabi, Mehrdad et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning