1–20 von 26 Ergebnissen
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    An efficient realization of deep learning for traffic data imputation

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

    Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks

    Chen, Yuanyuan / Lv, Yisheng / Wang, Fei-Yue | IEEE | 2020

    Call for V&VIV: Verification and Validation of Intelligent Vehicles

    Wang, Fei-Yue / Ibanez-Guzman, Javier / Lv, Yisheng | IEEE | 2022

    Traffic Flow Prediction with Parallel Data

    Chen, Yuanyuan / Lv, Yisheng / Wang, Xiao et al. | IEEE | 2018

    A convolutional neural network for traffic information sensing from social media text

    Chen, Yuanyuan / Lv, Yisheng / Wang, Xiao et al. | IEEE | 2017

    Detecting Traffic Information From Social Media Texts With Deep Learning Approaches

    Chen, Yuanyuan / Lv, Yisheng / Wang, Xiao et al. | IEEE | 2019

    Long short-term memory model for traffic congestion prediction with online open data

    Yuan-yuan Chen, / Lv, Yisheng / Li, Zhenjiang et al. | IEEE | 2016

    Traffic Flow Prediction With Big Data: A Deep Learning Approach

    Lv, Yisheng / Duan, Yanjie / Kang, Wenwen et al. | IEEE | 2015

    Parallel Transportation in TransVerse: From Foundation Models to DeCAST

    Zhao, Chen / Wang, Xiao / Lv, Yisheng et al. | IEEE | 2023

    Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management

    Zhu, Fenghua / Lv, Yisheng / Chen, Yuanyuan et al. | IEEE | 2020

    Learning Transformer-based Cooperation for Networked Traffic Signal Control

    Zhao, Chen / Dai, Xingyuan / Wang, Xiao et al. | IEEE | 2022

    Recurrent Attention Unit: A Simple and Effective Method for Traffic Prediction

    Wei, Zebing / Li, Zhishuai / Wang, Chunxiang et al. | IEEE | 2021

    Improving Road Detection Results Based on Ensemble Learning and Key Samples Focusing

    Fan, Siqi / Zhu, Fenghua / Zhang, Hui et al. | IEEE | 2020