Synonyme wurden verwendet für: Lernen Maschinelles Lernen
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1–50 von 110 Ergebnissen
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    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

    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

    Built environment’s nonlinear effects on mode shares around BRT and rail stations

    Sajjad Abdollahpour, Seyed / Buehler, Ralph / Le, Huyen T.K. et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks

    Giraldo-Grueso, Felipe / Popov, Andrey A. / Zanetti, Renato | AIAA | 2024
    Schlagwörter: Machine Learning

    Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements

    Tikayat Ray, Archana / Pinon Fischer, Olivia J. / White, Ryan T. et al. | AIAA | 2024
    Schlagwörter: Machine Learning

    Automated Spoken-to-Coded Pilot Weather Reports in General Aviation

    Gupta, Shantanu / Pitts, Brandon J. / Johnson, Mary E. | AIAA | 2024
    Schlagwörter: Machine Learning

    Framework for Offline Data-Driven Aircraft Fault Diagnosis

    Dahleni Kraemer, Aline / Villani, Emilia | AIAA | 2024
    Schlagwörter: Machine Learning

    Introduction to the Virtual Collection on Machine Learning in Aerospace

    Sunberg, Zach / Oh, Hyondong | AIAA | 2023
    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

    Exploring user satisfaction and improvement priorities in electric vehicle segments

    Zhao, Danting / Gao, Jie / Liu, Nieyangzi | Elsevier | 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

    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

    An Electric Vehicle Transitioning Framework for Public Fleet Planning

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

    Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea

    Kim, Junghyun / Kim, Seulki | AIAA | 2023
    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

    Assessing driving behavior influence on fuel efficiency using machine-learning and drive-cycle simulations

    Mohammadnazar, Amin / Khattak, Zulqarnain H. / Khattak, Asad J. | Elsevier | 2023
    Schlagwörter: Machine learning

    Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis

    Liu, Xiang / Chen, Xiaohong / Potoglou, Dimitris et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership

    Peng, Bozhezi / Zhang, Yi / Li, Chaoyang et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Examining active travel behavior through explainable machine learning: Insights from Beijing, China

    Yin, Ganmin / Huang, Zhou / Fu, Chen et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    Optimizing inventory control through a data-driven and model-independent framework

    Freier Zugriff
    Evangelos Theodorou / Evangelos Spiliotis / Vassilios Assimakopoulos | DOAJ | 2023
    Schlagwörter: Machine learning

    Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory

    Kabir, Rezwana / Remias, Stephen M. / Waddell, Jonathan et al. | Elsevier | 2023
    Schlagwörter: Machine Learning

    Learning to optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten : Kurzbericht, Teil I, Schlussbericht, Teil II

    Freier Zugriff
    Schmidt-Thieme, Lars / Rieck, Julia / Hahne, Detlef | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

      Learning to optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten : Kurzbericht, Teil I, Schlussbericht, Teil II

      Schmidt-Thieme, Lars / Rieck, Julia / Hahne, Detlef | TIBKAT | 2023
      Schlagwörter: Maschinelles Lernen

    Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations

    Andrade, Sequoia / Walsh, Hannah S. | AIAA | 2023
    Schlagwörter: Machine Learning

    Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets

    Dolph, Chester V. / Ippolito, Corey / Glaab, Louis J. et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Statistical-machine-learning-based intelligent relaxation for set-covering location models to identify locations of charging stations for electric vehicles

    Freier Zugriff
    Selcen Gülsüm Aslan Özşahin / Babek Erdebilli | DOAJ | 2023
    Schlagwörter: Statistical-machine-learning-based intelligent optimization

    Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications

    Dunkel, Emily R. / Swope, Jason / Candela, Alberto et al. | AIAA | 2023
    Schlagwörter: Deep Learning , Machine Learning

    Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning

    Na, Kyung-Mi / Lee, Chang-Hun | AIAA | 2023
    Schlagwörter: Machine Learning

    Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications

    Di Mascio, Stefano / Menicucci, Alessandra / Gill, Eberhard et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning

    Xu, Jiaxin / Zhang, Junfeng / Peng, Zihan et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach

    Park, Junwoo / Bang, Hyochoong | AIAA | 2023
    Schlagwörter: Reinforcement Learning , Machine Learning Control

    Maximum Likelihood Uncertainty Estimation: Robustness to Outliers

    Freier Zugriff
    Nair, Deebul / Hochgeschwender, Nico / Olivares-Mendez, Miguel | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning , Deep 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

    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

    Generalizability of Code Clone Detection on CodeBERT

    Freier Zugriff
    Sonnekalb, Tim / Gruner, Bernd / Brust, Clemens-Alexander et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning on code

    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

    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

    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

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

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

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

    Haase, Enrico | Elsevier | 2022
    Schlagwörter: Machine learning

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

    Desai, Salil / Tayarani, Mohammad / Oliver Gao, H. | 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

    The impact of smart traffic interventions on roadside air quality employing machine learning approaches

    Munir, Said / Luo, Zhiwen / Dixon, Tim et al. | Elsevier | 2022
    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

    A comprehensive review of trip generation models based on land use characteristics

    Mukherjee, Jaideep / Raghuram Kadali, B. | Elsevier | 2022
    Schlagwörter: Machine learning approaches

    Applicability of machine learning in uncertainty quantification of turbulence models

    Freier Zugriff
    Matha, Marcel / Kucharczyk, Karsten | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Applicability of machine learning in uncertainty quantification of turbulence models

    Freier Zugriff
    Matha, Marcel / Kucharczyk, Karsten | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning