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1–50 von 1,032 Ergebnissen
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    2D-supervised fast neural fluid reconstruction technique for time-resolved volumetric flame reconstruction

    Zhang, Fuhao / Zhang, Weixuan / Gong, Shuicheng et al. | Elsevier | 2023
    Schlagwörter: Deep learning , Transfer learning

    A 3D game theoretical framework for the evaluation of unmanned aircraft systems airspace integration concepts

    Albaba, Berat Mert / Musavi, Negin / Yildiz, Yildiray | Elsevier | 2021
    Schlagwörter: Reinforcement Learning

    A batch reinforcement learning approach to vacant taxi routing

    Yu, Xinlian / Gao, Song | Elsevier | 2022
    Schlagwörter: Batch reinforcement learning

    A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models

    Sengupta, Agnimitra / Mondal, Sudeepta / Das, Adway et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    A Bayesian clustering ensemble Gaussian process model for network-wide traffic flow clustering and prediction

    Zhu, Zheng / Xu, Meng / Ke, Jintao et al. | Elsevier | 2023
    Schlagwörter: Statistical learning

    A Bayesian deep learning method for freeway incident detection with uncertainty quantification

    Liu, Genwang / Jin, Haolin / Li, Jiaze et al. | Elsevier | 2022
    Schlagwörter: Bayesian deep learning , Machine learning

    A bi-level cooperative operation approach for AGV based automated valet parking

    Zhang, Jiawei / Li, Zhiheng / Li, Li et al. | Elsevier | 2021
    Schlagwörter: Deep reinforcement learning (DRL)

    A bi-objective deep reinforcement learning approach for low-carbon-emission high-speed railway alignment design

    He, Qing / Gao, Tianci / Gao, Yan et al. | Elsevier | 2022
    Schlagwörter: Bi-objective deep reinforcement learning

    Accelerating reliability-based topology optimization via gradient online learning and prediction

    Xing, Yi / Tong, Liyong | Elsevier | 2023
    Schlagwörter: machine learning

    Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens

    Fafoutellis, Panagiotis / Mantouka, Eleni G. / Vlahogianni, Eleni I. | Elsevier | 2022
    Schlagwörter: Interpretable machine learning

    Accounting for dynamic speed limit control in a stochastic traffic environment: A reinforcement learning approach

    Zhu, Feng / Ukkusuri, Satish V. | Elsevier | 2014
    Schlagwörter: Reinforcement learning

    Accuracy of reinforcement learning algorithms for predicting aircraft taxi-out times: A case-study of Tampa Bay departures

    Balakrishna, Poornima / Ganesan, Rajesh / Sherry, Lance | Elsevier | 2010
    Schlagwörter: Reinforcement learning

    A clustering-based quantitative analysis of the interdependent relationship between spatial and energy anomalies in ADS-B trajectory data

    Corrado, Samantha J. / Puranik, Tejas G. / Fischer, Olivia Pinon et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw

    Ijaz, Muhammad / lan, Liu / Zahid, Muhammad et al. | Elsevier | 2021
    Schlagwörter: Machine learning (ML)

    A comparison of statistical learning methods for deriving determining factors of accident occurrence from an imbalanced high resolution dataset

    Schlögl, Matthias / Stütz, Rainer / Laaha, Gregor et al. | Elsevier | 2019
    Schlagwörter: Statistical learning

    A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach

    Soleimani, Samira / Mousa, Saleh R. / Codjoe, Julius et al. | Elsevier | 2019
    Schlagwörter: Machine Learning

    A comprehensive review of trip generation models based on land use characteristics

    Mukherjee, Jaideep / Raghuram Kadali, B. | Elsevier | 2022
    Schlagwörter: Machine learning approaches

    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

    A conflict-based approach for real-time road safety analysis: Comparative evaluation with crash-based models

    Orsini, Federico / Gecchele, Gregorio / Rossi, Riccardo et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    A convolutional neural network method to improve efficiency and visualization in modeling driver’s visual field on roads using MLS data

    Ma, Yang / Zheng, Yubing / Cheng, Jianchuan et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    A crash severity analysis at highway-rail grade crossings: The random survival forest method

    Keramati, Amin / Lu, Pan / Iranitalab, Amirfarrokh et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    A critical review on the state-of-the-art and future prospects of machine learning for Earth observation operations

    Miralles, Pablo / Thangavel, Kathiravan / Fulvio Scannapieco, Antonio et al. | Elsevier | 2023
    Schlagwörter: Machine Learning , Deep Learning , Reinforcement Learning , Learning Vector Quantization , DEpendable and Expandable Learning , Deep Reinforcement Learning

    Activity imputation for trip-chains elicited from smart-card data using a continuous hidden Markov model

    Han, Gain / Sohn, Keemin | Elsevier | 2015
    Schlagwörter: Machine learning

    A customized deep learning approach to integrate network-scale online traffic data imputation and prediction

    Zhang, Zhengchao / Lin, Xi / Li, Meng et al. | Elsevier | 2021
    Schlagwörter: 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

    AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks

    Zhang, Wei / Zhu, Fenghua / Lv, Yisheng et al. | Elsevier | 2022
    Schlagwörter: Adaptive graph learning , Deep learning

    Adaptive closed-loop maneuver planning for low-thrust spacecraft using reinforcement learning

    LaFarge, Nicholas B. / Howell, Kathleen C. / Folta, David C. | Elsevier | 2023
    Schlagwörter: Reinforcement learning

    Adaptive control of hypersonic vehicles with unknown dynamics based on dual network architecture

    Cheng, Lin / Wang, Zhenbo / Gong, Shengping | Elsevier | 2021
    Schlagwörter: Iterative model learning , Iterative control learning

    Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

    Furfaro, Roberto / Scorsoglio, Andrea / Linares, Richard et al. | Elsevier | 2020
    Schlagwörter: Deep reinfocement learning

    Adaptive generative adjustable electric fence method and internal obstacle detection

    Liu, Yixiao / Tian, Zihao / Tian, Lixin et al. | Elsevier | 2024
    Schlagwörter: Adaptive learning

    Adaptive guidance and integrated navigation with reinforcement meta-learning

    Gaudet, Brian / Linares, Richard / Furfaro, Roberto | Elsevier | 2020
    Schlagwörter: Meta learning , Reinforcement learning

    Adaptive neural network control of nonlinear systems with unknown dynamics

    Cheng, Lin / Wang, Zhenbo / Jiang, Fanghua et al. | Elsevier | 2020
    Schlagwörter: Iterative control learning

    Adaptive railway traffic control using approximate dynamic programming

    Ghasempour, Taha / Heydecker, Benjamin | Elsevier | 2019
    Schlagwörter: Reinforcement learning

    Adaptive scheduling of mixed bus services with flexible fleet size assignment under demand uncertainty

    Chow, Andy H.F. / Li, Guang-yu / Ying, Cheng-shuo | Elsevier | 2023
    Schlagwörter: Reinforcement learning

    Adaptive signal control for bus service reliability with connected vehicle technology via reinforcement learning

    Chow, Andy H.F. / Su, Z.C. / Liang, E.M. et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning

    Adaptive Traffic Signal Control for large-scale scenario with Cooperative Group-based Multi-agent reinforcement learning

    Wang, Tong / Cao, Jiahua / Hussain, Azhar | Elsevier | 2021
    Schlagwörter: Multi-agent reinforcement learning

    Adaptive traffic signal control using approximate dynamic programming

    Cai, Chen / Wong, Chi Kwong / Heydecker, Benjamin G. | Elsevier | 2009
    Schlagwörter: Reinforcement learning

    Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events

    Aslani, Mohammad / Mesgari, Mohammad Saadi / Wiering, Marco | Elsevier | 2017
    Schlagwörter: Reinforcement learning

    A data analytics framework for anomaly detection in flight operations

    Coelho e Silva, Lucas / Murça, Mayara Condé Rocha | Elsevier | 2023
    Schlagwörter: Machine learning

    A data-centric weak supervised learning for highway traffic incident detection

    Sun, Yixuan / Mallick, Tanwi / Balaprakash, Prasanna et al. | Elsevier | 2022
    Schlagwörter: Data-centric machine 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

    A data-driven decision support system for service completion prediction in last mile logistics

    Pegado-Bardayo, Ana / Lorenzo-Espejo, Antonio / Muñuzuri, Jesús et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    A data-driven hybrid control framework to improve transit performance

    Wang, Wensi / Liu, Jiaming / Yao, Baozhen et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    A data-driven, kinematic feature-based, near real-time algorithm for injury severity prediction of vehicle occupants

    Wang, Qingfan / Gan, Shun / Chen, Wentao et al. | Elsevier | 2021
    Schlagwörter: Machine-learning algorithms