Synonyme wurden verwendet für: learning  deep learning
Suche ohne Synonyme: keywords:( deep learning)

61–80 von 768 Ergebnissen
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    Convolutional neural network for detecting railway fastener defects using a developed 3D laser system

    Zhan, You / Dai, Xianxing / Yang, Enhui et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Real-time crash risk prediction on arterials based on LSTM-CNN

    Li, Pei / Abdel-Aty, Mohamed / Yuan, Jinghui | Elsevier | 2019
    Schlagwörter: Deep learning

    Assessing bikeability with street view imagery and computer vision

    Ito, Koichi / Biljecki, Filip | Elsevier | 2021
    Schlagwörter: Deep learning

    A new deep learning approach for hyperspectral image classification based on multifeature local kernel descriptors

    Asghari Beirami, Behnam / Mokhtarzade, Mehdi | Elsevier | 2023
    Schlagwörter: Deep learning

    Explainable, automated urban interventions to improve pedestrian and vehicle safety

    Bustos, C. / Rhoads, D. / Solé-Ribalta, A. et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Deep neural networks for choice analysis: A statistical learning theory perspective

    Wang, Shenhao / Wang, Qingyi / Bailey, Nate et al. | Elsevier | 2021
    Schlagwörter: Deep neural networks , Statistical learning theory

    Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

    Fan, Pengfei / Song, Guohua / Zhai, Zhiqiang et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Deep learning methods for automotive radar signal processing

    Pérez González, Rodrigo / Technische Universität München / Eric Cuvillier, Firma | TIBKAT | 2021
    Schlagwörter: Deep learning

      Deep learning methods for automotive radar signal processing

      Pérez González, Rodrigo / Technische Universität München / Eric Cuvillier, Firma | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2021
      Schlagwörter: Deep learning

    Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning

    Xu, Ming / Wu, Jianping / Huang, Ling et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: deep reinforcement learning

    Roadside video data analysis : deep learning

    Verma, Brijesh / Zhang, Ligang / Stockwell, David | SLUB | 2017
    Schlagwörter: Deep learning

    Differential variable speed limits control for freeway recurrent bottlenecks via deep actor-critic algorithm

    Wu, Yuankai / Tan, Huachun / Qin, Lingqiao et al. | Elsevier | 2020
    Schlagwörter: Deep reinforcement learning

    The construction of a neural network proxy model for ship hull design based on multi-fidelity datasets and the parameter freezing strategy

    Ao, Yu / Li, Shaofan / Li, Yunbo et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Deep learning , machine learning

    A cold-start-free reinforcement learning approach for traffic signal control

    Xiao, Nan / Yu, Liang / Yu, Jinqiang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning , reinforcement learning

    Traffic Speed Prediction for Urban Arterial Roads Using Deep Neural Networks

    Adu-Gyamfi, Yaw / Zhao, Mo | ASCE | 2018
    Schlagwörter: Deep learning

    Prediction of solar cycle 25 using deep learning based long short-term memory forecasting technique

    Prasad, Amrita / Roy, Soumya / Sarkar, Arindam et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach

    Pang, Yutian / Zhao, Xinyu / Yan, Hao et al. | Elsevier | 2021
    Schlagwörter: Bayesian deep learning

    Hybrid deep reinforcement learning based eco-driving for low-level connected and automated vehicles along signalized corridors

    Guo, Qiangqiang / Angah, Ohay / Liu, Zhijun et al. | Elsevier | 2021
    Schlagwörter: Hybrid reinforcement learning , Deep Q-learning

    Smart IoT‐Enabled Traffic Sign Recognition With High Accuracy (TSR‐HA) Using Deep Learning

    Pradeep, Kumar S. / Jayanthi, K. / Selvakumari, S. | Wiley | 2022
    Schlagwörter: deep learning , deep neural network

    Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction

    Cui, Zhiyong / Ke, Ruimin / Pu, Ziyuan et al. | Elsevier | 2020
    Schlagwörter: Deep learning