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1–20 von 66 Ergebnissen
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    Dynamic Walking on Stepping Stones with Gait Library and Control Barrier Functions

    Nguyen, Quan / Da, Xingye / Grizzle, J. W. et al. | TIBKAT | 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

    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

    Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations

    Shi, Dachuan / Ye, Yunguang / Gillwald, Marco et al. | Taylor & Francis Verlag | 2021
    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

    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

    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

    Using supervised machine learning algorithms in pavement degradation monitoring

    Freier Zugriff
    Amir Shtayat / Sara Moridpour / Berthold Best et al. | DOAJ | 2023
    Schlagwörter: Machine Learning

    Analyzing injury severity of motorcycle at-fault crashes using machine learning techniques, decision tree and logistic regression models

    Freier Zugriff
    Mahdi Rezapour / Amirarsalan Mehrara Molan / Khaled Ksaibati | DOAJ | 2020
    Schlagwörter: Machine learning techniques

    Predicting the traction power of metropolitan railway lines using different machine learning models

    Pineda-Jaramillo, J. / Martínez-Fernández, P. / Villalba-Sanchis, I. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Machine Learning

    An optimized metamodel for predicting damage and oil outflow in tanker collision accidents

    Freier Zugriff
    Das, Tanmoy / Goerlandt, Floris / Tabri, Kristjan | SAGE Publications | 2022
    Schlagwörter: machine learning

    Automatic topics extraction from crowdsourced cyclists near-miss and collision reports using text mining and Artificial Neural Networks

    Freier Zugriff
    Keneth Morgan Kwayu / Valerian Kwigizile / Kevin Lee et al. | DOAJ | 2022
    Schlagwörter: Machine learning

    Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification

    Aboah, Armstrong / Adu-Gyamfi, Yaw / Gursoy, Senem Velipasalar et al. | ASCE | 2023
    Schlagwörter: Machine learning

    Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem

    Assi, Khaled / Ratrout, Nedal / Nemer, Ibrahim et al. | ASCE | 2023
    Schlagwörter: Machine learning , Deep learning

    Prediction of lateral confinement coefficient in reinforced concrete columns using M5′ machine learning method

    Naeej, Mojtaba / Bali, Meysam / Naeej, Mohamad Reza et al. | Springer Verlag | 2013
    Schlagwörter: M5’ machine learning method

      Prediction of lateral confinement coefficient in reinforced concrete columns using M5′ machine learning method

      Naeej, Mojtaba / Bali, Meysam / Naeej, Mohamad Reza et al. | Online Contents | 2013
      Schlagwörter: M5’ machine learning method

    A reinforcement learning model for personalized driving policies identification

    Freier Zugriff
    Dimitris M. Vlachogiannis / Eleni I. Vlahogianni / John Golias | DOAJ | 2020
    Schlagwörter: Reinforcement learning , Q-learning , Machine learning

    Automatic clustering-based approach for train wheels condition monitoring

    Mosleh, Araliya / Meixedo, Andreia / Ribeiro, Diogo et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    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

    Date Estimation in the Wild Dataset

    Freier Zugriff
    Müller, Eric / Springstein, Matthias / Ewerth, Ralph | DataCite | 2017
    Schlagwörter: Machine Learning , Deep 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