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    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

    What’s eating public transit in the United States? Reasons for declining transit ridership in the 2010s

    Lee, Yongsung / Lee, Bumsoo | Elsevier | 2022
    Schlagwörter: Machine learning

    What Lies behind Idle Connection Time in Fast-Charging Public Stations: Evidence from Changshu, China

    Zhou, Xizhen / Ding, Xueqi / Ji, Yanjie | ASCE | 2024
    Schlagwörter: Machine learning

    Way Forward for New and Current Users - Workshop Intro-Uncontrolled Airspace Commercial Space Traffic Management

    P. H. Kopardekar / S. J. Zelinski | NTIS | 2017
    Schlagwörter: Machine learning

    Visual recognition of hexagonal headed bolts by comparing ICA to wavelets

    Mazzeo, P.L. / Ancona, N. / Stella, E. et al. | Tema Archiv | 2003
    Schlagwörter: maschinelles Sehen , Lernen

    Vibration-based Damage Detection in Bridges via Machine Learning

    Sun, Shuang / Liang, Li / Li, Ming et al. | Springer Verlag | 2018
    Schlagwörter: machine learning

      Vibration-based Damage Detection in Bridges via Machine Learning

      Sun, Shuang / Liang, Li / Li, Ming et al. | Online Contents | 2018
      Schlagwörter: machine learning

    Vehicular Networks and Autonomous Driving Cars

    Seon Hong, Choong / Khan, Latif U. / Chen, Mingzhe et al. | Springer Verlag | 2021
    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

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

    Yan, Xiang / Liu, Xinyu / Zhao, Xilei | Elsevier | 2020
    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

    Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach

    Greggio, Nicola / Bernardino, Alexandre / Santos-Victor, José | Springer Verlag | 2011
    Schlagwörter: Unsupervised learning , Machine learning

    Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms

    Yousefzadeh Barri, Elnaz / Farber, Steven / Jahanshahi, Hadi et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Understanding market competition between transportation network companies using big data

    Huang, Guan / Liang, Yuebing / Zhao, Zhan | Elsevier | 2023
    Schlagwörter: Interpretable machine learning

    Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis

    Ji, Shujuan / Wang, Xin / Lyu, Tao et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Unconstrained licence plate and text localization and recognition

    Matas, J. / Zimmermann, K. | Tema Archiv | 2005
    Schlagwörter: Lernen , maschinelles Lernen

    UAV Detection and Identification

    Ezuma, Martins / Erden, Fatih / Kumar Anjinappa, Chethan et al. | Wiley | 2020
    Schlagwörter: machine learning algorithms

    Two-dimensional pose estimation of industrial robotic arms in highly dynamic collaborative environments

    Freier Zugriff
    Gulde, Thomas | TIBKAT | 2022
    Schlagwörter: Deep learning , Maschinelles Sehen

    Trends, Issues, and Challenges in the Domain of IoT-Based Vehicular Cloud Network

    Musaddiq, Arslan / Ali, Rashid / Bajracharya, Rojeena et al. | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design

    Worthey, Hampton / Yang, Jidong J. / Kim, S. Sonny | Springer Verlag | 2021
    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

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

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

    Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning

    Hasan, Raed Abdullah / Irshaid, Hafez / Alhomaidat, Fadi et al. | Springer Verlag | 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

    Transient Stability Prediction of Power Systems Using Post-disturbance Rotor Angle Trajectory Cluster Features

    Zhou, Yanzhen | Online Contents | 2016
    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

    Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification

    Baro, X. / Escalera, S. / Vitria, J. et al. | Tema Archiv | 2009
    Schlagwörter: maschinelles Sehen , Lernen

    Traffic Sign Detection and Recognition

    Pillai, Preeti S. / Kinnal, Bhagyashree / Pattanashetty, Vishal et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Traffic Order Analysis of Intersection Entrance Based on Aggressive Driving Behavior Data Using CatBoost and SHAP

    Zhao, Xiaohua / Qi, Hang / Yao, Ying et al. | ASCE | 2023
    Schlagwörter: Machine learning

    Traffic Light Control and Machine Learning: A Systematic Mapping Review

    Borges, Dimitrius F. / Moreira, Edmilson M. / de Souza, Adler D. et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Reinforcement 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

    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

    The uneven geography of US air traffic delays: Quantifying the impact of connecting passengers on delay propagation

    Sismanidou, Athina / Tarradellas, Joan / Suau-Sanchez, Pere | Elsevier | 2021
    Schlagwörter: Machine learning algorithms

    The Radar Equation

    Gamba, Jonah | Springer Verlag | 2019
    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

    The Future of Car Automation Field with Smart Driverless Technologies

    Thombare, Shreyas Shivajirao | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Target Recognition and Classification Techniques

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

    Target Filtering and Tracking

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

    Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels

    Abdoulaye Sidibé | Online Contents | 2017
    Schlagwörter: Active learning , Learning behaviour , Machine learning

    Structural Deformation Sensing Based on Distributed Optical Fiber Monitoring Technology and Neural Network

    Hou, Gong-Yu / Li, Zi-Xiang / Wang, Kai-Di et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Stereo vision system for longitudinal and lateral control of heterogeneous vehicle platoons on unstructured environment

    Alfraheed, Mohammad | Tema Archiv | 2012
    Schlagwörter: maschinelles Lernen , maschinelles Sehen

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

    Marković, Nikola / Kim, Myungseob (Edward) / Schonfeld, Paul | Elsevier | 2016
    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

    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

    Spatial-temporal heterogeneity and built environment nonlinearity in inconsiderate parking of dockless bike-sharing

    Wang, Yacan / Li, Jingjing / Su, Duan et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    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

    Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning

    Pawłowicz, Bartosz / Salach, Mateusz / Trybus, Bartosz | Springer Verlag | 2018
    Schlagwörter: Machine learning

    Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems

    Freier Zugriff
    Herman, Michael | TIBKAT | 2020
    Schlagwörter: Maschinelles Lernen , Bestärkendes Lernen (Künstliche Intelligenz)

    Signal Processing for Radar Systems

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: 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

    Self-supervised learning of primitive-based robotic manipulation

    Freier Zugriff
    Berscheid, Lars | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

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