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41–60 von 1,032 Ergebnissen
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    Real-world ride-hailing vehicle repositioning using deep reinforcement learning

    Jiao, Yan / Tang, Xiaocheng / Qin, Zhiwei (Tony) et al. | Elsevier | 2021
    Schlagwörter: Deep reinforcement learning

    Data-efficient modeling for power consumption estimation of quadrotor operations using ensemble learning

    Dai, Wei / Zhang, Mingcheng / Low, Kin Huat | Elsevier | 2023
    Schlagwörter: Machine learning , Ensemble learning

    Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data

    Chauhan, Mamta / Sur, Koyel / Chauhan, Prakash et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Adaptive control of hypersonic vehicles with unknown dynamics based on dual network architecture

    Cheng, Lin / Wang, Zhenbo / Gong, Shengping | Elsevier | 2021
    Schlagwörter: Iterative model learning , Iterative control learning

    Benchmarking deep learning approaches for all-vs-all conjunction screening

    Stevenson, Emma / Rodriguez-Fernandez, Victor / Urrutxua, Hodei et al. | Elsevier | 2023
    Schlagwörter: Deep learning , Machine learning

    Autonomous anomaly detection on traffic flow time series with reinforcement learning

    He, Dan / Kim, Jiwon / Shi, Hua et al. | Elsevier | 2023
    Schlagwörter: Reinforcement learning , Deep learning

    A novel parallel series data-driven model for IATA-coded flight delays prediction and features analysis

    Khan, Waqar Ahmed / Chung, Sai-Ho / Eltoukhy, Abdelrahman E.E. et al. | Elsevier | 2023
    Schlagwörter: Extreme learning machine , Imbalance learning

    Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks

    Wang, Shenhao / Mo, Baichuan / Zhao, Jinhua | Elsevier | 2021
    Schlagwörter: Deep learning

    AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks

    Zhang, Wei / Zhu, Fenghua / Lv, Yisheng et al. | Elsevier | 2022
    Schlagwörter: Adaptive graph learning , Deep learning

    Deep reinforcement learning based path stretch vector resolution in dense traffic with uncertainties

    Pham, Duc-Thinh / Tran, Phu N. / Alam, Sameer et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning , Learning environment

    Modeling irregular small bodies gravity field via extreme learning machines and Bayesian optimization

    Furfaro, Roberto / Barocco, Riccardo / Linares, Richard et al. | Elsevier | 2020
    Schlagwörter: Extreme learning machine

    Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

    Liu, Yang / Wu, Fanyou / Lyu, Cheng et al. | Elsevier | 2022
    Schlagwörter: Deep reinforcement learning

    Multi-agent Q-Learning control of spacecraft formation flying reconfiguration trajectories

    Kankashvar, Mohammadrasoul / Bolandi, Hossein / Mozayani, Nasser | Elsevier | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    Learning-based restoration sequence ordering for multi-site traffic signal failure

    Zhao, Tingting / Zhang, Yu | Elsevier | 2021
    Schlagwörter: Machine learning , Learning-based optimization

    Deep-learning for ionogram automatic scaling

    Xiao, Zhuowei / Wang, Jian / Li, Juan et al. | Elsevier | 2020
    Schlagwörter: Deep-learning

    AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning

    Liu, Shan / Zhang, Ya / Wang, Zhengli et al. | Elsevier | 2023
    Schlagwörter: Inverse reinforcement learning , Ensemble learning

    DRL-TP3: A learning and control framework for signalized intersections with mixed connected automated traffic

    Guo, Yi / Ma, Jiaqi | Elsevier | 2021
    Schlagwörter: Deep Reinforcement Learning , Learning and Control

    Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

    Parsa, Amir Bahador / Movahedi, Ali / Taghipour, Homa et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning

    Cui, Pengfei / Yang, Xiaobao / Abdel-Aty, Mohamed et al. | Elsevier | 2024
    Schlagwörter: Hypergraph Learning , Self-Supervised Learning