1–50 of 83 hits
|

Your search:
keywords:(learning)

    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
    Keywords: 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
    Keywords: Inverse reinforcement learning , Meta-learning

    Machine learning and deep learning

    Free access
    Janiesch, Christian / Zschech, Patrick / Heinrich, Kai | Online Contents | 2021
    Keywords: Deep learning , Machine 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
    Keywords: 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
    Keywords: Reinforcement learning , Q-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

    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

    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
    Keywords: Deep learning

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

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

    Towards efficient airline disruption recovery with reinforcement learning

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

    Generating bunkering statistics from AIS data: A machine learning approach

    Fuentes, Gabriel | Elsevier | 2021
    Keywords: Machine learning

    Real-time demand forecasting for an urban delivery platform

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

    Online operations strategies for automated multistory parking facilities

    Wang, Yineng / Li, Meng / Lin, Xi et al. | Elsevier | 2020
    Keywords: Reinforcement learning

    Machine learning in information systems - a bibliographic review and open research issues

    Free access
    Abdel-Karim, Benjamin M. / Pfeuffer, Nicolas / Hinz, Oliver | Online Contents | 2021
    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

    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

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

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

    Dynamic stochastic electric vehicle routing with safe reinforcement learning

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

    An adaptive learning model in coordination games

    Free access
    Funai, Naoki | BASE | 2013
    Keywords: 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
    Keywords: Inverse reinforcement learning

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

    Luo, Suyuan / Lin, Xudong / Zheng, Zunxin | Elsevier | 2019
    Keywords: Reinforcement 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
    Keywords: Multi-modal learning

    Traveler compliance with advice: A Bayesian utilitarian perspective

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

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

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

    Artificial intelligence and machine learning

    Free access
    Kühl, Niklas / Schemmer, Max / Goutier, Marc et al. | Online Contents | 2022
    Keywords: Machine learning

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

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

    Social responsibility and cost-learning in dyadic supply chain coordination

    Kumar, Patanjal / Baraiya, Rajendra / Das, Debashree et al. | Elsevier | 2021
    Keywords: 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
    Keywords: Self-learning strategy

    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
    Keywords: Learning-and-optimization

    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

    Feature subset selection for predicting the success of crowdfunding project campaigns

    Ryoba, Michael J. / Qu, Shaojian / Zhou, Yongyi | Online Contents | 2020
    Keywords: Machine learning

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

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

    Cognitive automation

    Engel, Christian / Ebel, Philipp / Leimeister, Jan Marco | Online Contents | 2022
    Keywords: Machine 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

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

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

    Logistics service provider–client relationships

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

    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
    Keywords: Self-learning NSGA-II

    A machine learning approach to identifying decision-making styles for managing customer relationships

    Tudoran, Ana Alina | Online Contents | 2022
    Keywords: Machine learning

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

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

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

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