Synonyme wurden verwendet für: Lernen Maschinelles Lernen
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1–20 von 30 Ergebnissen
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    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

    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

    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

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

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

    Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers

    Jehanzaib, Muhammad / Shah, Sabab Ali / Son, Ho Jun et al. | Springer Verlag | 2022
    Schlagwörter: Machine-learning classifier , Supervised learning

    Generalized Linear Models to Identify the Impact of Road Geometric Design Features on Crash Frequency in Rural Roads

    Khedher, Moataz Bellah Ben / Yun, Dukgeun | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Predicting the Compressive Strength and the Effective Porosity of Pervious Concrete Using Machine Learning Methods

    Le, Ba-Anh / Vu, Viet-Hung / Seo, Soo-Yeon et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models

    Koushik, Anil / Manoj, M. / Nezamuddin, N. | Springer Verlag | 2024
    Schlagwörter: Deep learning , 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

    Vibration-based Damage Detection in Bridges via Machine Learning

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

    Explainable Boosting Machine for Predicting Wind Shear-Induced Aircraft Go-around based on Pilot Reports

    Khattak, Afaq / Chan, Pak-wai / Chen, Feng et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns

    Yu, Yong / Hu, Tianyu | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning

    Lee, Kyeong Seok / Ahn, Jin-Hee / Park, Hae-Yong et al. | Springer Verlag | 2023
    Schlagwörter: Machine-learning regression , Supervised 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

    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

    Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting

    Wei, Yaxing / Hashim, Huzaifa / Chong, K. L. et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Presenting a Hybrid Scheme of Machine Learning Combined with Metaheuristic Optimizers for Predicting Final Cost and Time of Project

    Bakhshi, Reza / Moradinia, Sina Fard / Jani, Rasool et al. | Springer Verlag | 2022
    Schlagwörter: Hybrid machine learning

    Do Perceptions of Hydrogen Energy Effect on Vehicle Preference? A Learning-Based Model Approach

    Kim, Woojin / Kim, Junghwa / Jang, Jeong Ah et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning