Synonyme wurden verwendet für: learning
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1–20 von 84 Ergebnissen
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    A Bayesian Learning Method for Structural Damage Assessment of Phase I IASC-ASCE Benchmark Problem

    Oh, Chang Kook / Beck, James L. | Springer Verlag | 2018
    Schlagwörter: Bayesian learning method

    A BO-LSTM-Based Rapid Evaluation Method of PCCP Structural Safety under Falling Rock Impacts

    Cheng, Lin / Mao, Haoran / Zhang, Yuheng et al. | Springer Verlag | 2024
    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 Controller Algorithm (ILC) for the Variable Differential Pressure Control of Freezing Water in a Central Air Conditioning System

    Ren, Qingchang / Jiang, Hongmei | Springer Verlag | 2019
    Schlagwörter: Iterative learning controller algorithm (ILC)

    A Damage Localization Approach for Rahmen Bridge Based on Convolutional Neural Network

    Lee, Kanghyeok / Byun, Namju / Shin, Do Hyoung | Springer Verlag | 2020
    Schlagwörter: Deep learning

    A Deep Learning-Based Procedure for Safety Evaluation of Steel Frames Using Advanced Analysis

    Ha, Manh-Hung / Vu, Quang-Viet / Truong, Viet-Hung | Springer Verlag | 2019
    Schlagwörter: Deep learning , Machine 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

    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

    A Machine Learning Based Method for Real-Time Queue Length Estimation Using License Plate Recognition and GPS Trajectory Data

    Liu, Dongbo / An, Chengchuan / Yasir, Muhammad et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    A Machine Learning Tool for Pavement Design and Analysis

    Yang, Guangwei / Mahboub, Kamyar C. / Renfro, Ryan L. et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    A Possibility of AI Application on Mode-choice Prediction of Transport Users in Hanoi

    Thanh, Truong Thi My / Ly, Hai-Bang / Pham, Binh Thai | Springer Verlag | 2019
    Schlagwörter: Machine learning

    Application of Convolution Neural Network for Adaptive Traffic Controller System

    Ahmed, Muaid Abdulkareem Alnazir / Khoo, Hooi Ling / Ng, Oon-Ee | Springer Verlag | 2022
    Schlagwörter: Deep reinforcement learning

    Application of Teaching-Learning-Based-Optimization algorithm for the discrete optimization of truss structures

    Dede, Tayfun | Springer Verlag | 2014
    Schlagwörter: teaching-learning-based optimization

    Attendance and Security System Based on Building Video Surveillance

    Sun, Kailai / Zhao, Qianchuan / Zou, Jianhong et al. | Springer Verlag | 2019
    Schlagwörter: Deep learning

    Combined Object Detection and Segmentation by Using Space-Time Patches

    Murai, Yasuhiro / Fujiyoshi, Hironobu / Kanade, Takeo | Springer Verlag | 2007
    Schlagwörter: Learning Sample

    Crack Detection of the Urban Underground Utility Tunnel Based on Residual Feature Pyramid Attention Network

    Zhou, Yuan / Li, Chengwei / Wang, Shoubin et al. | Springer Verlag | 2024
    Schlagwörter: Residual learning

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

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

    Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

    Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Springer Verlag | 2018
    Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network 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