81–100 von 1,032 Ergebnissen
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    Novel evidence theory-based reliability analysis of functionally graded plate considering thermal stress behavior

    Wang, Chong / Song, Zhengkai / Fan, Haoran | Elsevier | 2024
    Schlagwörter: Active learning kriging model

    Machine learning and multi-objective optimization methodology for planning construction phases of airport expansion projects

    Al-Ghzawi, Mamdouh / El-Rayes, Khaled | Elsevier | 2024
    Schlagwörter: Machine learning

    High-risk event prone driver identification considering driving behavior temporal covariate shift

    Zhang, Ruici / Wen, Xiang / Cao, Huanqiang et al. | Elsevier | 2024
    Schlagwörter: Imbalanced Data Learning

    Reduced-order prediction of unsteady spatial-temporal aerodynamics in a turbine cascade

    Qiao, Tianyang / Hu, Chenxing / Yang, Ce | Elsevier | 2024
    Schlagwörter: Machine Learning

    Anomalous ride-hailing driver detection with deep transfer inverse reinforcement learning

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

    Unlabeled scene adaptive crowd counting via meta-ensemble learning

    Ma, Chaoqun / Zeng, Jia / Shao, Penghui et al. | Elsevier | 2023
    Schlagwörter: Meta-learning , Ensemble learning

    AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

    Li, Huanhuan / Jiao, Hang / Yang, Zaili | Elsevier | 2023
    Schlagwörter: Machine learning , Deep learning

    Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling

    Chen, Kehua / Han, Jindong / Feng, Siyuan et al. | Elsevier | 2023
    Schlagwörter: Representation learning , Contrastive 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

    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

    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

    A task-level emergency experience reuse method for freeway accidents onsite disposal with policy distilled reinforcement learning

    Yan, Longhao / Wang, Ping / Qi, Fan et al. | Elsevier | 2023
    Schlagwörter: Transfer learning , Multi-agent reinforcement learning

    Comparing and contrasting choice model and machine learning techniques in the context of vehicle ownership decisions

    Ali, Azam / Kalatian, Arash / Choudhury, Charisma F. | Elsevier | 2023
    Schlagwörter: Machine learning , Explainable machine learning

    Network-wide short-term inflow prediction of the multi-traffic modes system: An adaptive multi-graph convolution and attention mechanism based multitask-learning model

    Yang, Yongjie / Zhang, Jinlei / Yang, Lixing et al. | Elsevier | 2023
    Schlagwörter: Multi-task learning , Deep learning

    Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning neural network control approach

    Jia, Qingxian / Gao, Junnan / Zhang, Chengxi et al. | Elsevier | 2023
    Schlagwörter: Learning neural-network control , Iterative learning algorithm

    Prediction of ionospheric total electron content data using spatio-temporal residual network

    Shenvi, Nayana / Chandrasekhar, E. / Kumar, Anurag et al. | Elsevier | 2023
    Schlagwörter: Machine learning , Deep learning

    A Two-stage Learning-based method for Large-scale On-demand pickup and delivery services with soft time windows

    Zhang, Ke / Li, Meng / Wang, Jiguang et al. | Elsevier | 2023
    Schlagwörter: Deep Reinforcement Learning , Transfer Learning

    Scalable reinforcement learning approaches for dynamic pricing in ride-hailing systems

    Lei, Zengxiang / Ukkusuri, Satish V. | Elsevier | 2023
    Schlagwörter: Reinforcement learning