Synonyme wurden verwendet für: Deep learning
Suche ohne Synonyme: keywords:("Deep learning")

1–20 von 182 Ergebnissen
|

    An efficient realization of deep learning for traffic data imputation

    Duan, Yanjie / Lv, Yisheng / Liu, Yu-Liang et al. | Elsevier | 2016
    Schlagwörter: Deep learning

    A novel passenger flow prediction model using deep learning methods

    Liu, Lijuan / Chen, Rung-Ching | Elsevier | 2017
    Schlagwörter: Deep learning

    Deep learning for short-term traffic flow prediction

    Polson, Nicholas G. / Sokolov, Vadim O. | Elsevier | 2017
    Schlagwörter: Deep Learning

    Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

    Ke, Jintao / Zheng, Hongyu / Yang, Hai et al. | Elsevier | 2017
    Schlagwörter: Deep learning (DL)

    Highway crash detection and risk estimation using deep learning

    Huang, Tingting / Wang, Shuo / Sharma, Anuj | Elsevier | 2019
    Schlagwörter: Deep 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

    Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system

    Hao, Siyu / Lee, Der-Horng / Zhao, De | Elsevier | 2019
    Schlagwörter: Deep learning

    DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending

    Dai, Xingyuan / Fu, Rui / Zhao, Enmin et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Integrated deep learning and stochastic car-following model for traffic dynamics on multi-lane freeways

    Lee, Seunghyeon / Ngoduy, Dong / Keyvan-Ekbatani, Mehdi | Elsevier | 2019
    Schlagwörter: Deep learning

    An effective spatial-temporal attention based neural network for traffic flow prediction

    Do, Loan N.N. / Vu, Hai L. / Vo, Bao Q. et al. | Elsevier | 2019
    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

    Detecting motorcycle helmet use with deep learning

    Siebert, Felix Wilhelm / Lin, Hanhe | Elsevier | 2019
    Schlagwörter: Deep 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

    Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies

    Zhang, Zhengchao / Li, Meng / Lin, Xi et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Simultaneous modeling of car-following and lane-changing behaviors using deep learning

    Zhang, Xiaohui / Sun, Jie / Qi, Xiao et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    How to generate micro-agents? A deep generative modeling approach to population synthesis

    Borysov, Stanislav S. / Rich, Jeppe / Pereira, Francisco C. | Elsevier | 2019
    Schlagwörter: Deep learning

    An advanced deep learning approach to real-time estimation of lane-based queue lengths at a signalized junction

    Lee, Seunghyeon / Xie, Kun / Ngoduy, Dong et al. | Elsevier | 2019
    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

    Convolutional neural network based combustion mode classification for condition monitoring in the supersonic combustor

    Zhu, Xiaobin / Cai, Zun / Wu, Jianjun et al. | Elsevier | 2019
    Schlagwörter: Deep Learning