Suchen:
search-head

Sie sind hier: Homepage >  Suche

Physik   Verkehrstechnik, Verkehrswesen   Ggf. lizenzpflichtig   Auswahl aufheben
1–20 von 561 Ergebnissen
|
Sortieren:
Ihre Suche:
keywords:("Deep Learning")

    ⋆This paper has been handled by associate editor Tony Sze.The application of novel connected vehicles emulated data on real-time crash potential prediction for arterials

    Li, Pei / Abdel-Aty, Mohamed / Cai, Qing et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    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

    4D flight trajectory prediction using a hybrid Deep Learning prediction method based on ADS-B technology: A case study of Hartsfield–Jackson Atlanta International Airport (ATL)

    Shafienya, Hesam / Regan, Amelia C. | Elsevier | 2022
    Schlagwörter: Deep 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 deep learning method for freeway incident detection with uncertainty quantification

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

    Accident Detection in Surveillance Camera

    Adil, A. P. / Anandhu, M. G. / Joy, Jeovan Elsa et al. | Springer Verlag | 2023
    Schlagwörter: Deep 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

    A Comparison of Deep Learning-Based Monocular Visual Odometry Algorithms

    Jeong, Eunju / Lee, Jaun / Kim, Pyojin | Springer Verlag | 2022
    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

    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: Deep 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

    A Damage Localization Approach for Rahmen Bridge Based on Convolutional Neural Network

    Lee, Kanghyeok / Byun, Namju / Shin, Do Hyoung | Springer Verlag | 2020
    Schlagwörter: Deep 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: Deep learning

    A Data-Driven Approach for Traffic Crash Prediction: A Case Study in Ningbo, China

    Hu, Zhenghua / Zhou, Jibiao / Huang, Kejie et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Addressing COVID-induced changes in spatiotemporal travel mobility and community structure utilizing trip data: An innovative graph-based deep learning approach

    Chang, Ximing / Wu, Jianjun / Yu, Jiarui et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction

    Tan, Huachun / Zhong, Zhiyu / Wu, Yuankai et al. | ASCE | 2018
    Schlagwörter: Deep learning

    A deep convolutional neural network based approach for vehicle classification using large-scale GPS trajectory data

    Dabiri, Sina / Marković, Nikola / Heaslip, Kevin et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    A Deep Learning Approach for Detection and Segmentation of Airplanes in Ultrahigh-Spatial-Resolution UAV Dataset

    Dhingra, Parul / Pande, Hina / Tiwari, Poonam S. et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    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

    A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management

    Prasad, K. Sai / Pasupathy, S. | Springer Verlag | 2022
    Schlagwörter: Deep learning

Ergebnisse anzeigen
10 50

Suchergebnisse filtern