Synonyme wurden verwendet für: learning
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21–40 von 75 Ergebnissen
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    Enhancing Vibration-based Damage Assessment with 1D-CNN: Parametric Studies and Field Applications

    Park, Soyeon / Kim, Sunjoong | Springer Verlag | 2024
    Schlagwörter: Deep Learning

    Development of Point Cloud Data-Denoising Technology for Earthwork Sites Using Encoder-Decoder Network

    Choi, Yeongjun / Park, Suyeul / Kim, Seok | Springer Verlag | 2022
    Schlagwörter: Deep 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

    Deep Learning-Based Prediction of Fire Occurrence with Hydroclimatic Condition and Drought Phase over South Korea

    Sung, Jang Hyun / Ryu, Young / Seong, Kee-Won | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Reliability of Jack-up against Punch-through using Failure State Intelligent Recognition Technique

    Lyu, Tao / Xu, Changhang / Chen, Guoming et al. | Springer Verlag | 2019
    Schlagwörter: deep learning

    Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

    Feng, Chuncheng / Zhang, Hua / Wang, Shuang et al. | Springer Verlag | 2019
    Schlagwörter: transfer learning

    A Framework for Improving Object Recognition of Structural Components in Construction Site Photos Using Deep Learning Approaches

    Park, Sang Mi / Lee, Jae Hee / Kang, Leen Seok | Springer Verlag | 2023
    Schlagwörter: Deep learning

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

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

    Shrinkage Crack Detection in Expansive Soil using Deep Convolutional Neural Network and Transfer Learning

    Andrushia, A. Diana / Neebha, T. Mary / Umadevi, S. et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Development of Data-based Hierarchical Learning Model for Predicting Condition Rating of Bridge Members over Time

    Choi, Youngjin / Kong, Jungsik | Springer Verlag | 2023
    Schlagwörter: Deep 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

    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

    Metaheuristic Optimization of Reinforced Concrete Footings

    Nigdeli, Sinan Melih / Bekdaş, Gebrail / Yang, Xin-She | Springer Verlag | 2018
    Schlagwörter: teaching-learning based optimization

    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

    Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting

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

    A Hybrid Feature Selection-multidimensional LSTM Framework for Deformation Prediction of Super High Arch Dams

    Cao, Enhua / Bao, Tengfei / Li, Hui et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    What is the Impact of COVID-19 on Residential Water Use?

    Sung, Jang Hyun / Chung, Eun-Sung | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Internal Defect Detection of Structures Based on Infrared Thermography and Deep Learning

    Deng, Lu / Zuo, Hui / Wang, Wei et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning