Synonyme wurden verwendet für: Machine learning
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1–50 von 198 Ergebnissen
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    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

    Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information

    Freier Zugriff
    Runge, Jakob | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: machine learning

    DatEnKoST : Sachbericht/Schlussbericht

    Freier Zugriff
    AWS-Institut für digitale Produkte und Prozesse gGmbH / Cyface GmbH | TIBKAT | 2022
    Schlagwörter: Maschinelles Lernen

      DatEnKoST : Sachbericht/Schlussbericht

      AWS-Institut für digitale Produkte und Prozesse gGmbH / Cyface GmbH | TIBKAT | 2022
      Schlagwörter: Maschinelles Lernen

    Introduction to the Virtual Collection on Machine Learning in Aerospace

    Sunberg, Zach / Oh, Hyondong | AIAA | 2023
    Schlagwörter: Machine Learning

    Comparing and contrasting choice model and machine learning techniques in the context of vehicle ownership decisions

    Ali, Azam / Kalatian, Arash / Choudhury, Charisma F. | Elsevier | 2023
    Schlagwörter: Machine learning , Explainable machine learning

    Network–wide prediction of public transportation ridership using spatio–temporal link–level information

    Karnberger, Stephan / Antoniou, Constantinos | Elsevier | 2019
    Schlagwörter: Machine learning

    Bridges across borders: A clustering approach to support EU regional policy

    Christodoulou, Aris / Christidis, Panayotis | Elsevier | 2020
    Schlagwörter: Machine learning

    Scour Depth Evaluation of a Bridge with a Complex Pier Foundation

    Liao, Kuo-Wei / Muto, Yasunori / Lin, Jhe-Yu | Springer Verlag | 2017
    Schlagwörter: machine learning

      Scour Depth Evaluation of a Bridge with a Complex Pier Foundation

      Liao, Kuo-Wei / Muto, Yasunori / Lin, Jhe-Yu | Online Contents | 2018
      Schlagwörter: machine learning

    Quantifying the social impacts of the London Night Tube with a double/debiased machine learning based difference-in-differences approach

    Zhang, Yingheng / Li, Haojie / Ren, Gang | Elsevier | 2022
    Schlagwörter: Causal machine learning , Double/debiased machine learning

    A data-driven decision support system for service completion prediction in last mile logistics

    Pegado-Bardayo, Ana / Lorenzo-Espejo, Antonio / Muñuzuri, Jesús et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Combatting the mismatch: Modeling bike-sharing rental and return machine learning classification forecast in Seoul, South Korea

    Choi, Seung Jun / Jiao, Junfeng / Lee, Hye Kyung et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Using machine learning for direct demand modeling of ridesourcing services in Chicago

    Yan, Xiang / Liu, Xinyu / Zhao, Xilei | Elsevier | 2020
    Schlagwörter: Machine learning

    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

    On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis

    Chikaraishi, Makoto / Garg, Prateek / Varghese, Varun et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Exploring the non-linear associations between spatial attributes and walking distance to transit

    Tao, Tao / Wang, Jueyu / Cao, Xinyu | Elsevier | 2019
    Schlagwörter: Machine learning

    Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships

    Xu, Yiming / Yan, Xiang / Liu, Xinyu et al. | Elsevier | 2020
    Schlagwörter: Interpretable machine learning

    Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona

    Cottam, Adrian / Li, Xiaofeng / Ma, Xiaobo et al. | ASCE | 2024
    Schlagwörter: Machine learning

    Examining non-linear associations between built environments around workplace and adults’ walking behaviour in Shanghai, China

    Yang, Haoran / Zhang, Qinran / Helbich, Marco et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Ineffective built environment interventions: How to reduce driving in American suburbs?

    Tao, Tao / Cao, Jason | Elsevier | 2023
    Schlagwörter: Machine learning

    Predicting passenger satisfaction in public transportation using machine learning models

    Ruiz, Elkin / Yushimito, Wilfredo F. / Aburto, Luis et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Forecasting road traffic conditions using a context-based random forest algorithm

    Evans, Jonny / Waterson, Ben / Hamilton, Andrew | Taylor & Francis Verlag | 2019
    Schlagwörter: machine learning

    On suspicious tracks: Machine-learning based approaches to detect cartels in railway-infrastructure procurement

    Wallimann, Hannes / Sticher, Silvio | Elsevier | 2023
    Schlagwörter: Machine learning

    Predicting weather-induced delays of high-speed rail and aviation in China

    Chen, Zhenhua / Wang, Yuxuan / Zhou, Lei | Elsevier | 2020
    Schlagwörter: Machine learning

    Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning

    Zhang, Xiaojian / Zhou, Zhengze / Xu, Yiming et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    Examining the non-linear effects of transit accessibility on daily trip duration: A focus on the low-income population

    Tao, Sui / Cheng, Long / He, Sylvia et al. | Elsevier | 2023
    Schlagwörter: Machine-learning

    Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning

    Zhou, Xiaolu / Wang, Mingshu / Li, Dongying | Elsevier | 2019
    Schlagwörter: Machine learning

    Traffic volume prediction on low-volume roadways: a Cubist approach

    Das, Subasish | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Domino effect in marine accidents: Evidence from temporal association rules

    Wang, Likun / Huang, Ruiling / Shi, Wenming et al. | Elsevier | 2021
    Schlagwörter: 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

    Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm

    Lee, Seok Bong / Suh, Kyung-Duck | Online Contents | 2019
    Schlagwörter: machine learning

    To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults

    Yang, Linchuan / Ao, Yibin / Ke, Jintao et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Fahrerspezifische Prädiktion von Fahrmanövern mit Fuzzy Logic

    Bauer, C. / Gonter, M. / Rojas, R. | Tema Archiv | 2010
    Schlagwörter: maschinelles Lernen

    An interpretable machine learning framework to understand bikeshare demand before and during the COVID-19 pandemic in New York City

    Uddin, Majbah / Hwang, Ho-Ling / Hasnine, Md Sami | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

    Freier Zugriff
    Band, Shahab S. / Janizadeh, Saeid / Chandra Pal, Subodh et al. | BASE | 2020
    Schlagwörter: Maschinelles Lernen

    Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

    Gui, Guoqing / Pan, Hong / Lin, Zhibin et al. | Springer Verlag | 2017
    Schlagwörter: support vector machine learning

      Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

      Gui, Guoqing / Pan, Hong / Lin, Zhibin et al. | Online Contents | 2017
      Schlagwörter: support vector machine learning

    A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis

    Freier Zugriff
    Rawson, Andrew / Brito, Mario | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    A methodology to develop a geospatial transportation typology

    Popovich, Natalie / Spurlock, C. Anna / Needell, Zachary et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Exploring the contributions of Ebike ownership, transit access, and the built environment to car ownership in a developing city

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

    Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data

    Shah, Nitesh R. / Guo, Jing / Han, Lee D. et al. | Elsevier | 2023
    Schlagwörter: Unsupervised machine learning

    Reshaping China's urban networks and their determinants: High-speed rail vs. air networks

    Yang, Haoran / Du, Delin / Wang, Jiaoe et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Container terminal daily gate in and gate out forecasting using machine learning methods

    Jin, Jiahuan / Ma, Mingyu / Jin, Huan et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Predicting disruptions and their passenger delay impacts for public transport stops

    Freier Zugriff
    Yap, Menno / Cats, Oded | Online Contents | 2020
    Schlagwörter: Machine learning

    Statistical and machine learning approach for planning dial-a-ride systems

    Marković, Nikola / Kim, Myungseob (Edward) / Schonfeld, Paul | Elsevier | 2016
    Schlagwörter: Machine learning

    Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis

    Peng, Qiao / Bakkar, Yassine / Wu, Liangpeng et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    Medium-term public transit route ridership forecasting: What, how and why? A case study in Lyon

    Egu, Oscar / Bonnel, Patrick | Elsevier | 2021
    Schlagwörter: Machine learning

    In-store shopping trip predictions and impact factors during COVID-19 emergencies

    Imran, Md Ashraful / Hyun, Kate | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Analyzing multi-factor effects on travel well-being, including non-linear relationship and interaction

    Yu, Hongmei / Ye, Xiaofei / Liu, Lining et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments

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