1–20 von 60 Ergebnissen
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    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

    Prediction of the Impact of Typhoons on Transportation Networks with Support Vector Regression

    Hu, Ta-Yin | Online Contents | 2015
    Schlagwörter: Machine learning

    Machine learning approaches for improving condition-based maintenance of naval propulsion plants

    Coraddu, Andrea / Oneto, Luca / Ghio, Aessandro et al. | SAGE Publications | 2016
    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

    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

    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

    A Comparative Study of Machine Learning Classification for Color-based Safety Vest Detection on Construction-Site Images

    Seong, Hyeonwoo / Son, Hyojoo / Kim, Changwan | Springer Verlag | 2018
    Schlagwörter: machine learning

      A Comparative Study of Machine Learning Classification for Color-based Safety Vest Detection on Construction-Site Images

      Seong, Hyeonwoo / Son, Hyojoo / Kim, Changwan | Online Contents | 2018
      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

    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

    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

    A reinforcement learning model for personalized driving policies identification

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

    Flood Hazard Rating Prediction for Urban Areas Using Random Forest and LSTM

    Kim, Hyun Il / Kim, Byung Hyun | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Data-Driven Approach for the Rapid Simulation of Urban Flood Prediction

    Kim, Hyun Il / Han, Kun Yeun | Springer Verlag | 2020
    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

    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

    Pavement Surface Condition Index Prediction Based on Random Forest Algorithm

    Yu, Ting / Pei, Li-Ii / Li, Wei et al. | ASCE | 2021
    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

    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