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1–20 von 218 Ergebnissen
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    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

    Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

    Fan, Pengfei / Song, Guohua / Zhai, Zhiqiang et al. | Elsevier | 2024
    Schlagwörter: Deep 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

    Revisiting residential self-selection and travel behavior connection using a double machine learning

    Ding, Chuan / Wang, Yufan / Cao, Xinyu (Jason) et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors

    Cai, Haiming / Wang, Jiawei / Li, Binliang et al. | Elsevier | 2024
    Schlagwörter: Inverse Reinforcement 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

    Fake it till you make it: Synthetic data for emerging carsharing programs

    Albrecht, Tobias / Keller, Robert / Rebholz, Dominik et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Individual and synergistic associations among transit allowance, land use, and transit commuting

    Sun, Shan / Yang, Shuo / Guo, Liang et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Spatiotemporal prediction of particulate matter concentration based on traffic and meteorological data

    Yang, Jiayu / Shi, Linchang / Lee, Jaeyoung et al. | Elsevier | 2024
    Schlagwörter: Deep-learning methods

    Built environment’s nonlinear effects on mode shares around BRT and rail stations

    Sajjad Abdollahpour, Seyed / Buehler, Ralph / Le, Huyen T.K. 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

    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

    Learning to optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten : Kurzbericht, Teil I, Schlussbericht, Teil II

    Freier Zugriff
    Schmidt-Thieme, Lars / Rieck, Julia / Hahne, Detlef | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

      Learning to optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten : Kurzbericht, Teil I, Schlussbericht, Teil II

      Schmidt-Thieme, Lars / Rieck, Julia / Hahne, Detlef | TIBKAT | 2023
      Schlagwörter: Maschinelles Lernen

    Machine Learning im Cost Engineering des Supply Managements

    Freier Zugriff
    Bodendorf, Frank | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

      Machine Learning im Cost Engineering des Supply Managements

      Bodendorf, Frank / FAU University Press ein Imprint der Universität Erlangen-Nürnberg, Universitätsbibliothek | TIBKAT | 2023
      Schlagwörter: Maschinelles Lernen

    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

    Towards efficient airline disruption recovery with reinforcement learning

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

    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