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

1–20 von 106 Ergebnissen
|

    Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning

    Zhang, Pujun / Lei, Dazhou / Liu, Shan et al. | Elsevier | 2024
    Schlagwörter: Inverse reinforcement learning , Meta-learning

    A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data

    Chen, Liao / Ma, Shoufeng / Li, Changlin et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Efficient inventory routing for Bike-Sharing Systems: A combinatorial reinforcement learning framework

    Guo, Yuhan / Li, Jinning / Xiao, Linfan et al. | Elsevier | 2024
    Schlagwörter: Reinforcement learning

    Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review

    Yang, Ying / Liu, Yang / Li, Guorong et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda

    Bhattacharya, Sourabh / Govindan, Kannan / Ghosh Dastidar, Surajit et al. | Elsevier | 2024
    Schlagwörter: Machine Learning

    A reinforcement learning-based hyper-heuristic for AGV task assignment and route planning in parts-to-picker warehouses

    Li, Kunpeng / Liu, Tengbo / Ram Kumar, P.N. et al. | Elsevier | 2024
    Schlagwörter: Reinforcement 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

    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

    Air cargo transport demand forecasting using ConvLSTM2D, an artificial neural network architecture approach

    Gerardo Muros Anguita, Juan / Díaz Olariaga, Oscar | Elsevier | 2023
    Schlagwörter: Machine learning , Deep learning

    Towards efficient airline disruption recovery with reinforcement learning

    Ding, Yida / Wandelt, Sebastian / Wu, Guohua et al. | Elsevier | 2023
    Schlagwörter: Deep Reinforcement Learning

    Optimization of ride-sharing with passenger transfer via deep reinforcement learning

    Wang, Dujuan / Wang, Qi / Yin, Yunqiang et al. | Elsevier | 2023
    Schlagwörter: Deep reinforcement learning

    A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections

    Yang, Zhisen / Yu, Qing / Yang, Zaili et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    This is what’s in store for you: How online social learning affects product positioning

    Li, Feng / Du, Timon C. / Wei, Ying | Elsevier | 2023
    Schlagwörter: Social learning

    Experience-based territory planning and driver assignment with predicted demand and driver present condition

    Li, Yifu / Zhou, Chenhao / Yuan, Peixue et al. | Elsevier | 2023
    Schlagwörter: Learning effect

    Analyzing changes in travel patterns due to Covid-19 using Twitter data in India

    Shende, Swapnil / Bhaduri, Eeshan / Goswami, Arkopal Kishore | Elsevier | 2023
    Schlagwörter: Machine learning

    Dynamic operations of an integrated mobility service system of fixed-route transits and flexible electric buses

    Tang, Xindi / Yang, Jie / Lin, Xi et al. | Elsevier | 2023
    Schlagwörter: Learning-and-optimization

    Route planning for last-mile deliveries using mobile parcel lockers: A hybrid q-learning network approach

    Liu, Yubin / Ye, Qiming / Escribano-Macias, Jose et al. | Elsevier | 2023
    Schlagwörter: Reinforcement Q-Learning

    Methodology for generating synthetic labeled datasets for visual container inspection

    Delgado, Guillem / Cortés, Andoni / García, Sara et al. | Elsevier | 2023
    Schlagwörter: Deep Learning

    A machine learning-based Bayesian model for predicting the duration of ship detention in PSC inspection

    Yang, Zhisen / Wan, Chengpeng / Yu, Qing et al. | Elsevier | 2023
    Schlagwörter: ITAN learning

    Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems

    Guo, Feng / Wei, Qu / Wang, Miao et al. | Elsevier | 2023
    Schlagwörter: Deep reinforcement learning