Synonyms were used for: Lernen
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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
    Keywords: 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
    Keywords: 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
    Keywords: 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
    Keywords: Inverse Reinforcement 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
    Keywords: Deep learning

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

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

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

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

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

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

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

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

    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
    Keywords: 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
    Keywords: 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
    Keywords: Machine learning

    Classification of Particulate Matter (PM2.5) Concentrations Using Feature Selection and Machine Learning Strategies

    Free access
    Matara Caroline Mongina / Nyambane Simpson Osano / Yusuf Amir Okeyo et al. | DOAJ | 2024
    Keywords: machine learning

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

    Free access
    Universität Hildesheim, Institut für Informatik / Universität Hildesheim, Institut für Betriebswirtschaft und Wirtschaftsinformatik / Spedifix Logistiksoftware et al. | TIBKAT | 2023
    Keywords: Maschinelles Lernen

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

      Universität Hildesheim, Institut für Informatik / Universität Hildesheim, Institut für Betriebswirtschaft und Wirtschaftsinformatik / Spedifix Logistiksoftware et al. | TIBKAT | 2023
      Keywords: Maschinelles Lernen

    Machine Learning im Cost Engineering des Supply Managements

    Free access
    Bodendorf, Frank | TIBKAT | 2023
    Keywords: Maschinelles Lernen

      Machine Learning im Cost Engineering des Supply Managements

      Bodendorf, Frank / FAU University Press ein Imprint der Universität Erlangen-Nürnberg, Universitätsbibliothek | TIBKAT | 2023
      Keywords: 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
    Keywords: 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
    Keywords: Inverse reinforcement learning , Ensemble learning

    Towards efficient airline disruption recovery with reinforcement learning

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

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

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

    Joint associations of environmental and sociodemographic attributes with active and sedentary travel

    Chandrabose, Manoj / Rahim Mohammad Forkan, Abdur / Abe, Takumi et al. | Elsevier | 2023
    Keywords: Machine learning

    Exploring user satisfaction and improvement priorities in electric vehicle segments

    Zhao, Danting / Gao, Jie / Liu, Nieyangzi | Elsevier | 2023
    Keywords: Machine learning

    Using open data and deep learning to explore walkability in Shenzhen, China

    He, Xuan / He, Sylvia Y. | Elsevier | 2023
    Keywords: Deep 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
    Keywords: 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
    Keywords: Social learning

    Analysis and estimation of energy consumption of electric buses using real-world data

    Zhang, Zhaosheng / Ye, Baolin / Wang, Shuai et al. | Elsevier | 2023
    Keywords: Machine learning

    A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents

    Liao, Xishun / Wu, Guoyuan / Yang, Lan et al. | Elsevier | 2023
    Keywords: Machine 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
    Keywords: Learning effect

    An Electric Vehicle Transitioning Framework for Public Fleet Planning

    Er Raqabi, El Mehdi / Li, Wenkai | Elsevier | 2023
    Keywords: Machine Learning

    Traffic volume and road network structure: Revealing transportation-related factors on PM2.5 concentrations

    Yu, Chengcheng / Deng, Yongqi / Qin, Zhengtao et al. | Elsevier | 2023
    Keywords: Bayesian machine learning

    Methodology for generating synthetic labeled datasets for visual container inspection

    Delgado, Guillem / Cortés, Andoni / García, Sara et al. | Elsevier | 2023
    Keywords: Deep 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
    Keywords: Learning-and-optimization

    Spatiotemporal analysis of built environment restrained traffic carbon emissions and policy implications

    Wu, Jishi / Jia, Peng / Feng, Tao et al. | Elsevier | 2023
    Keywords: Machine learning

    Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis

    Liu, Xiang / Chen, Xiaohong / Potoglou, Dimitris et al. | Elsevier | 2023
    Keywords: Machine learning

    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
    Keywords: Reinforcement Q-Learning

    Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership

    Peng, Bozhezi / Zhang, Yi / Li, Chaoyang et al. | Elsevier | 2023
    Keywords: Machine learning

    Assessing driving behavior influence on fuel efficiency using machine-learning and drive-cycle simulations

    Mohammadnazar, Amin / Khattak, Zulqarnain H. / Khattak, Asad J. | Elsevier | 2023
    Keywords: Machine 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
    Keywords: ITAN learning

    Automated Expert Knowledge-Based Deep Reinforcement Learning Warm Start via Decision Tree for Hybrid Electric Vehicle Energy Management

    Xu, Bin / Wang, Hanchen / Zhang, Jiangfeng et al. | SAE Technical Papers | 2023
    Keywords: Machine learning

    Short-term electric vehicle battery swapping demand prediction: Deep learning methods

    Wang, Shengyou / Chen, Anthony / Wang, Pinxi et al. | Elsevier | 2023
    Keywords: Deep learning methods

    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
    Keywords: Deep reinforcement learning

    Mild Hybrid Electric Vehicle Powertrain Control Using Offline–Online Hybrid Deep Reinforcement Learning Strategy

    Yoon, Hwan-Sik / Yao, Zhengyu | SAE Technical Papers | 2023
    Keywords: Machine learning

    Examining active travel behavior through explainable machine learning: Insights from Beijing, China

    Yin, Ganmin / Huang, Zhou / Fu, Chen et al. | Elsevier | 2023
    Keywords: Explainable machine learning

    An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction

    Nguyen, Son / Fu, Xiuju / Ogawa, Daichi et al. | Elsevier | 2023
    Keywords: Machine learning

    Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory

    Kabir, Rezwana / Remias, Stephen M. / Waddell, Jonathan et al. | Elsevier | 2023
    Keywords: Machine Learning

    Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

    Yan, Yimo / Chow, Andy H.F. / Ho, Chin Pang et al. | Elsevier | 2022
    Keywords: Reinforcement learning , Q-learning

    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
    Keywords: Deep reinforcement learning

    Nonlinear effects of the built environment on metro-integrated ridesourcing usage

    Jin, Tanhua / Cheng, Long / Zhang, Xucai et al. | Elsevier | 2022
    Keywords: Machine learning

    A dynamic routing protocol with payments for the Physical Internet: A simulation with learning agents

    Briand, Martin / Franklin, Rod / Lafkihi, Mariam | Elsevier | 2022
    Keywords: Learning agents