Synonyme wurden verwendet für: learning
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1–50 von 65 Ergebnissen
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    Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

    Khan, Waqar Ahmed / Ma, Hoi-Lam / Ouyang, Xu et al. | Elsevier | 2020
    Schlagwörter: Extreme learning machine , Machine learning

    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

    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

    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
    Schlagwörter: 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
    Schlagwörter: Deep reinforcement 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

    Hub-and-spoke network design under congestion: A learning based metaheuristic

    Karimi-Mamaghan, Maryam / Mohammadi, Mehrdad / Pirayesh, Amir et al. | Elsevier | 2020
    Schlagwörter: Machine learning , Learning based Metaheuristics

    Modeling train operation as sequences: A study of delay prediction with operation and weather data

    Huang, Ping / Wen, Chao / Fu, Liping et al. | Elsevier | 2020
    Schlagwörter: Deep 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

    Reinforcement learning framework for freight demand forecasting to support operational planning decisions

    Al Hajj Hassan, Lama / Mahmassani, Hani S. / Chen, Ying | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    Real-time demand forecasting for an urban delivery platform

    Hess, Alexander / Spinler, Stefan / Winkenbach, Matthias | Elsevier | 2020
    Schlagwörter: Machine learning

    Generating bunkering statistics from AIS data: A machine learning approach

    Fuentes, Gabriel | Elsevier | 2021
    Schlagwörter: 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
    Schlagwörter: Learning agents

    Online operations strategies for automated multistory parking facilities

    Wang, Yineng / Li, Meng / Lin, Xi et al. | Elsevier | 2020
    Schlagwörter: 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

    Integrating Dijkstra’s algorithm into deep inverse reinforcement learning for food delivery route planning

    Liu, Shan / Jiang, Hai / Chen, Shuiping et al. | Elsevier | 2020
    Schlagwörter: Inverse reinforcement learning

    A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption

    Khan, Waqar Ahmed / Chung, Sai-Ho / Ma, Hoi-Lam et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Traveler compliance with advice: A Bayesian utilitarian perspective

    Chorus, Caspar G. / Arentze, Theo A. / Timmermans, Harry J.P. | Elsevier | 2008
    Schlagwörter: Bayesian learning

    A computational approach for real-time stochastic recovery of electric power networks during a disaster

    Inanlouganji, Alireza / Pedrielli, Giulia / Reddy, T. Agami et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning

    Applications of machine learning methods in port operations – A systematic literature review

    Filom, Siyavash / Amiri, Amir M. / Razavi, Saiedeh | Elsevier | 2022
    Schlagwörter: Machine learning

    Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data

    Zhang, Wen / Yan, Shaoshan / Li, Jian et al. | Elsevier | 2022
    Schlagwörter: Multi-modal learning

    Dynamic stochastic electric vehicle routing with safe reinforcement learning

    Basso, Rafael / Kulcsár, Balázs / Sanchez-Diaz, Ivan et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning

    Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions

    Liu, Shan / Jiang, Hai | Elsevier | 2022
    Schlagwörter: Inverse reinforcement learning

    Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand

    Mohamad, Ittirit / Jomnonkwao, Sajjakaj / Ratanavaraha, Vatanavongs | Elsevier | 2022
    Schlagwörter: Machine learning

    A novel CNN-DDPG based AI-trader: Performance and roles in business operations

    Luo, Suyuan / Lin, Xudong / Zheng, Zunxin | Elsevier | 2019
    Schlagwörter: Reinforcement learning

    Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship

    Yan, Ran / Wang, Shuaian / Du, Yuquan | Elsevier | 2020
    Schlagwörter: Machine learning

    An improved learning-and-optimization train fare design method for addressing commuting congestion at CBD stations

    Chen, Xinyuan / Zhang, Wei / Guo, Xiaomeng et al. | Elsevier | 2021
    Schlagwörter: Learning-and-optimization

    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

    Social responsibility and cost-learning in dyadic supply chain coordination

    Kumar, Patanjal / Baraiya, Rajendra / Das, Debashree et al. | Elsevier | 2021
    Schlagwörter: Cost-learning capability

    The Self-Learning Particle Swarm Optimization approach for routing pickup and delivery of multiple products with material handling in multiple cross-docks

    Chen, Mu-Chen / Hsiao, Yu-Hsiang / Himadeep Reddy, Reddivari et al. | Elsevier | 2016
    Schlagwörter: Self-learning strategy

    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

    Online model-based reinforcement learning for decision-making in long distance routes

    Alcaraz, Juan J. / Losilla, Fernando / Caballero-Arnaldos, Luis | Elsevier | 2022
    Schlagwörter: 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

    A green delivery-pickup problem for home hemodialysis machines; sharing economy in distributing scarce resources

    Asghari, Mohammad / Mirzapour Al-e-hashem, S. Mohammad J. | Elsevier | 2019
    Schlagwörter: Self-learning NSGA-II

    Minimizing the total completion time of an urban delivery problem with uncertain assembly time

    Liu, Bingbing / Guo, Xiaolong / Yu, Yugang et al. | Elsevier | 2019
    Schlagwörter: Statistical learning estimation

    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

    Logistics service provider–client relationships

    Panayides, Photis M. / So, Meko | Elsevier | 2004
    Schlagwörter: Learning

    Estimating urban freight flow using limited data: The case of Delhi, India

    Malik, Leeza / Tiwari, Geetam / Biswas, Udayin et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Application of machine learning to characterize uneconomical managed lane choice behaviour

    Sharifi, Farinoush / Burris, Mark W. | Elsevier | 2019
    Schlagwörter: Machine learning

    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

    A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations

    Asadi, Amin / Nurre Pinkley, Sarah | Elsevier | 2020
    Schlagwörter: Reinforcement 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

    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

    Methodology for generating synthetic labeled datasets for visual container inspection

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

    Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach

    Ren, Shuyun / Choi, Tsan-Ming / Lee, Ka-Man et al. | Elsevier | 2019
    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