Synonyme wurden verwendet für: learning
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1–20 von 183 Ergebnissen
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    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

    Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network

    Zhang, Hong / Wang, Hongyan / Chen, Linlong et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism

    Zhao, Guanglei / Chen, Zihao / Liao, Weiming | Springer Verlag | 2024
    Schlagwörter: Reinforcement learning

    Local Planning Strategy Based on Deep Reinforcement Learning Over Estimation Suppression

    Han, Ling / Wang, Yiren / Chi, Ruifeng et al. | Springer Verlag | 2024
    Schlagwörter: Deep reinforcement learning

    Development of Indoor Wear Test Method for Passenger Car Tires Reflecting Road Driving Conditions

    Jung, Sungpil / Lee, Junhee | Springer Verlag | 2024
    Schlagwörter: Machine learning

    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 a Novel Prediction Model for Interface Shear Strength in Asphalt Pavement Using the CART Model

    Al-Jarazi, Rabea / Rahman, Ali / Ai, Changfa et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Evaluation of Machine Learning Algorithms for Classification of Infrastructure Elements in Complex Structures

    Yilmaz, Yalcin / Bayrak, Onur Can / Soycan, Arzu | Springer Verlag | 2024
    Schlagwörter: Machine learning

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

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

    Interpretability Analysis of Shear Capacity in Reinforced Recycled Aggregate Concrete Beams Using Tree Models

    Li, Li / Qin, Yapeng / Zhang, Yang et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Prediction of wing buffet pressure loads using a convolutional and recurrent neural network framework

    Freier Zugriff
    Zahn, R. / Weiner, A. / Breitsamter, C. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Effectiveness of an Immersive VR System for Construction Site Planning Education

    Wang, Kun-Chi / Hsu, Liang-Yu | Springer Verlag | 2024
    Schlagwörter: Learning effect evaluation

    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

    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

    Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning

    Moon, Seokho / Lee, Jinhee / Kim, Hyung Jun et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Learning-Based Parameter Optimization for a Class of Orbital Tracking Control Laws

    Freier Zugriff
    Bianchini, Gianni / Garulli, Andrea / Giannitrapani, Antonio et al. | Springer Verlag | 2024
    Schlagwörter: Learning

    Trajectory Data-Driven Network Representation for Traffic State Prediction using Deep Learning

    Freier Zugriff
    Yasuda, Shohei / Katayama, Hiroki / Nakanishi, Wataru et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Identifying Cislunar Orbital Families via Machine Learning on Light Curves

    Badura, Gregory P. / DeBlasio, Dan / Najera, Aryzbe et al. | Springer Verlag | 2024
    Schlagwörter: Machine Learning (ML)

    Effective Semantic Video Classification Model for Driverless Car

    Jagtap, Sujata / Kanade, Sudhir | Springer Verlag | 2024
    Schlagwörter: Machine learning