Synonyme wurden verwendet für: learning
Suche ohne Synonyme: keywords:(learning)

141–160 von 167 Ergebnissen
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    Semi-Supervised Land Cover Classification of Remote Sensing Imagery Using CycleGAN and EfficientNet

    Kwak, Taehong / Kim, Yongil | Springer Verlag | 2023
    Schlagwörter: Semi-supervised 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 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

    Four Decades of Computing in Civil Engineering

    Adeli, Hojjat | Springer Verlag | 2019
    Schlagwörter: machine learning

    Prediction of Asphalt Pavement Fatigue Damage of Expressway Based on Deep Learning

    Tan, Xuxiang / Sun, Huadong / Nan, Feng | Springer Verlag | 2020
    Schlagwörter: Deep 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)

    Sequential Prediction of the TBM Tunnelling Attitude Based on Long-Short Term Memory with Mechanical Movement Principle

    Wang, Ruirui / Xiao, Yuhang / Guo, Qian et al. | Springer Verlag | 2024
    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

    Short-Term Holiday Travel Demand Prediction for Urban Tour Transportation: A Combined Model Based on STC-LSTM Deep Learning Approach

    Li, Wanying / Guan, Hongzhi / Han, Yan et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Determinants of Electricity Consumption of Energy-Vulnerable Group Using Ensemble Gradient-Boosting Algorithm

    Kim, Hyunsoo / Kwon, Youngwoo / Choi, Yeol | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Attendance and Security System Based on Building Video Surveillance

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

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

    Kim, Hyun Il / Han, Kun Yeun | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Integrated YOLO and CNN Algorithms for Evaluating Degree of Walkway Breakage

    Choi, Min Je / Ku, Dong Gyun / Lee, Seung Jae | Springer Verlag | 2022
    Schlagwörter: Image deep learning

    Training Pattern-Recognition Machines

    A. G. Arkadev / E. M. Braverman | NTIS | 1966
    Schlagwörter: Learning machines

    Prediction of buckling coefficient of stiffened plate girders using deep learning algorithm

    Papazafeiropoulos, George / Vu, Quang-Viet / Truong, Viet-Hung et al. | Springer Verlag | 2019
    Schlagwörter: deep 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

    Spanish - Basic Course, Units 31-45 (Audiocassettes)

    NTIS | 1996
    Schlagwörter: Second language 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

    PSO-based Machine Learning Methods for Predicting Ground Surface Displacement Induced by Shallow Underground Excavation Method

    Kong, Fanchao / Tian, Tao / Lu, Dechun et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning methods