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61–80 von 1,032 Ergebnissen
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    A deep learning approach for real-time crash prediction using vehicle-by-vehicle data

    Basso, Franco / Pezoa, Raúl / Varas, Mauricio et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Machine learning for multi-jurisdictional optimal traffic corridor control

    Jacob, Celine / Abdulhai, Baher | Elsevier | 2009
    Schlagwörter: Machine learning , 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

    Warning systems triggered by trains increase flight-initiation times of wildlife

    Backs, Jonathan A.J. / Nychka, John A. / St. Clair, Colleen Cassady | Elsevier | 2020
    Schlagwörter: Learning

    Multi-agent Q-Learning control of spacecraft formation flying reconfiguration trajectories

    Kankashvar, Mohammadrasoul / Bolandi, Hossein / Mozayani, Nasser | Elsevier | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    A novel method for predicting and mapping the occurrence of sun glare using Google Street View

    Li, Xiaojiang / Cai, Bill Yang / Qiu, Waishan et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data

    Li, Linchao / Zhu, Jiasong / Zhang, Hailong et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines

    Li, Bing / Xue, Shao-Kai / Fu, Yu-Hui et al. | Elsevier | 2024
    Schlagwörter: Transfer learning , Kernel extreme learning machine

    Quasi revenue-neutral congestion pricing in cities: Crediting drivers to avoid city centers

    Li, Ye / Ramezani, Mohsen | Elsevier | 2022
    Schlagwörter: Learning-based model predictive control , Machine learning

    A task-level emergency experience reuse method for freeway accidents onsite disposal with policy distilled reinforcement learning

    Yan, Longhao / Wang, Ping / Qi, Fan et al. | Elsevier | 2023
    Schlagwörter: Transfer learning , Multi-agent reinforcement learning

    Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee

    Roland, Jeremiah / Way, Peter D. / Firat, Connor et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Learning how to dynamically route autonomous vehicles on shared roads

    Lazar, Daniel A. / Bıyık, Erdem / Sadigh, Dorsa et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning

    Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories

    Li, Meng / Li, Zhibin / Xu, Chengcheng et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Estimating wildlife strike costs at US airports: A machine learning approach

    Altringer, Levi / Navin, Jordan / Begier, Michael J. et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Prediction of aircraft performances based on data collected by air traffic control centers

    Hrastovec, Marko / Solina, Franc | Elsevier | 2016
    Schlagwörter: Machine learning

    Comparing and contrasting choice model and machine learning techniques in the context of vehicle ownership decisions

    Ali, Azam / Kalatian, Arash / Choudhury, Charisma F. | Elsevier | 2023
    Schlagwörter: Machine learning , Explainable machine learning

    One day ahead prediction of global TEC using Pix2pixhd

    Yang, Ding / Li, Qingfeng / Fang, Hanxian et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    A transfer learning approach to space debris classification using observational light curve data

    Allworth, James / Windrim, Lloyd / Bennett, James et al. | Elsevier | 2021
    Schlagwörter: Machine learning , Transfer learning

    Network-wide short-term inflow prediction of the multi-traffic modes system: An adaptive multi-graph convolution and attention mechanism based multitask-learning model

    Yang, Yongjie / Zhang, Jinlei / Yang, Lixing et al. | Elsevier | 2023
    Schlagwörter: Multi-task learning , Deep learning

    Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning neural network control approach

    Jia, Qingxian / Gao, Junnan / Zhang, Chengxi et al. | Elsevier | 2023
    Schlagwörter: Learning neural-network control , Iterative learning algorithm