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1–20 von 194 Ergebnissen
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    Machine learning algorithms in ship design optimization

    Peri, Daniele | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Understanding e-bicycle overtaking strategy: insights from inverse reinforcement learning modelling

    Yue, Lishengsa / Abdel-Aty, Mohamed / Zaki, Mohamed H. et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: inverse reinforcement learning

    An automatic methodology to measure drivers’ behavior in public transport

    Catalán, Hernán / Lobel, Hans / Herrera, Juan Carlos | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    STD-Yolov5: a ship-type detection model based on improved Yolov5

    Ning, Yue / Zhao, Lining / Zhang, Can et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: deep learning

    Crash classification based on manner of collision: a comparative analysis

    Mahmud, Asif / Sengupta, Agnimitra / Gayah, Vikash V. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Small-amplitude bogie hunting identification method for high-speed trains based on machine learning

    Guo, Jinying / Zhang, Gexiang / Shi, Huailong et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles

    Vaskov, Sean / Quirynen, Rien / Menner, Marcel et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    In-store shopping trip predictions and impact factors during COVID-19 emergencies

    Imran, Md Ashraful / Hyun, Kate | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Analyzing multi-factor effects on travel well-being, including non-linear relationship and interaction

    Yu, Hongmei / Ye, Xiaofei / Liu, Lining et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A machine learning based optimisation method to evaluate the crushing behaviours of square tubes with rectangular-hole-type initiators

    Liang, Rui / Xu, Fengxiang / Liu, Na et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Machine learning

    Active learning metamodelling for survival rate analysis of simulated emergency medical systems

    Antunes, Francisco / Amorim, Marco / Pereira, Francisco et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Active learning

    Multiagent reinforcement learning for autonomous driving in traffic zones with unsignalized intersections

    Spatharis, Christos / Blekas, Konstantinos | Taylor & Francis Verlag | 2024
    Schlagwörter: multiagent reinforcement learning

    Price incentive strategy for the E-scooter sharing service using deep reinforcement learning

    Yun, Hyunsoo / Kim, Eui-Jin / Ham, Seung Woo et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Deep reinforcement learning

    Two-stage procedure for transportation mode detection based on sighting data

    Chen, Huey-Kuo / Ho, Hsiao-Ching / Wu, Luo-Yu et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: deep learning

    Urban network-wide traffic volume estimation under sparse deployment of detectors

    Xing, Jiping / Liu, Ronghui / Zhang, Yuan et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Transfer learning

    PLDA in i-vector based underwater acoustic signals classification

    Song, Yongqiang / Liu, Feng / Shen, Tongsheng | Taylor & Francis Verlag | 2024
    Schlagwörter: Deep learning

    A data-driven method for flight time estimation based on air traffic pattern identification and prediction

    Yang, Chunwei / Zhang, Junfeng / Gui, Xuhao et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Fast prediction of turbine energy acquisition capacity under combined action of wave and current based on digital twin method

    Cao, Yu / Tang, Xiaobo / Zhang, Tao et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: deep learning

    Hybrid deep learning models for short-term demand forecasting of online car-hailing considering multiple factors

    Li, Siteng / Yang, Hang / Cheng, Rongjun et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: deep learning