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1–50 von 238 Ergebnissen
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    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

    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

    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

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

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

    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

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

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

    Gaussian process regression for forecasting battery state of health

    Richardson, Robert R | Online Contents | 2017
    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

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

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

    Role of Machine Learning for Ad Hoc Networks

    Gaba, Shivani / Aggarwal, Alankrita / Nagpal, Shally | Wiley | 2021
    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

    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

    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

    Predicting passenger satisfaction in public transportation using machine learning models

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

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

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

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

    Evans, Jonny / Waterson, Ben / Hamilton, Andrew | Taylor & Francis Verlag | 2019
    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

    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

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

    Wallimann, Hannes / Sticher, Silvio | Elsevier | 2023
    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

    Domino effect in marine accidents: Evidence from temporal association rules

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

    A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything

    Liu, Sheng / Elangovan, Vivekanandh / Xiang, Weidong | SAE Technical Papers | 2023
    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

    Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm

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

    Multi-Objective Classification of Three-Dimensional Imaging Radar Point Clouds: Support Vector Machine and PointNet

    Bai, Jie / Long, Kai / Dong, Lianfei et al. | SAE Technical Papers | 2021
    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

    Airborne Systems and Underwater Monitoring

    Basha, Elizabeth / To‐Tran, Jason / Young, Davis et al. | Wiley | 2021
    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

    Radar Waveforms and Their Mathematical Models

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: 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. | 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

    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

    Radar Target Detection

    Gamba, Jonah | Springer Verlag | 2019
    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

    Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function

    Upadhyay, Devesh / Yang, Hang / Shui, Huanyi et al. | SAE Technical Papers | 2021
    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

    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

    Classification of automobile and transit trips from Smartphone data: Enhancing accuracy using spatial statistics and GIS

    Nour, Akram / Hellinga, Bruce / Casello, Jeffrey | Elsevier | 2015
    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

    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

    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

    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

    Direction of Arrival (DOA) Estimation

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Spreadsheet Calculators for Stability Number of Armor Units Based on Artificial Neural Network Models

    Kim, In-Chul / Suh, Kyung-Duck | Springer Verlag | 2019
    Schlagwörter: machine learning

      Spreadsheet Calculators for Stability Number of Armor Units Based on Artificial Neural Network Models

      Kim, In-Chul / Suh, Kyung-Duck | Online Contents | 2019
      Schlagwörter: machine learning