1–20 von 46 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 Likelihood Prediction Using Temporal Attention–Based Deep Learning and Trajectory Fusion

    Li, Pei / Abdel-Aty, Mohamed | ASCE | 2022
    Schlagwörter: Deep learning

    Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

    Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Springer Verlag | 2018
    Schlagwörter: deep learning

      Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

      Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Online Contents | 2018
      Schlagwörter: deep learning

    Development of a global road safety performance function using deep neural networks

    Freier Zugriff
    Guangyuan Pan / Liping Fu / Lalita Thakali | DOAJ | 2017
    Schlagwörter: Deep learning

    The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations trained on Scarce Data

    Bagińska, Marta / Srokosz, Piotr E. | Springer Verlag | 2018
    Schlagwörter: deep learning

      The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations trained on Scarce Data

      Bagińska, Marta / Srokosz, Piotr E. | Online Contents | 2019
      Schlagwörter: deep learning

    Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning

    Chen, Tao / Fang, Jie / Xu, Mengyun et al. | ASCE | 2022
    Schlagwörter: Deep learning

    Reliability of Jack-up against Punch-through using Failure State Intelligent Recognition Technique

    Lyu, Tao / Xu, Changhang / Chen, Guoming et al. | Springer Verlag | 2019
    Schlagwörter: deep learning

      Reliability of Jack-up against Punch-through using Failure State Intelligent Recognition Technique

      Lyu, Tao / Xu, Changhang / Chen, Guoming et al. | Online Contents | 2019
      Schlagwörter: deep learning

    Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem

    Assi, Khaled / Ratrout, Nedal / Nemer, Ibrahim et al. | ASCE | 2023
    Schlagwörter: Deep learning

    A deep learning method for the prediction of 6-DoF ship motions in real conditions

    Freier Zugriff
    Zhang, Mingyang / Taimuri, Ghalib / Zhang, Jinfen et al. | SAGE Publications | 2023
    Schlagwörter: deep learning

    Research on fault prediction of marine diesel engine based on attention-LSTM

    Liu, Yi / Gan, Huibing / Cong, Yujin et al. | SAGE Publications | 2023
    Schlagwörter: deep learning

    Expressway Traffic Incident Detection Using a Deep Learning Approach Based on Spatiotemporal Features with Multilevel Fusion

    Qu, Qikai / Shen, Yongjun / Yang, Miaomiao et al. | ASCE | 2024
    Schlagwörter: Deep learning

    Date Estimation in the Wild Images

    Müller, Eric / Springstein, Matthias / Ewerth, Ralph | DataCite | 2017
    Schlagwörter: Deep Learning

    Date Estimation in the Wild Dataset

    Freier Zugriff
    Müller, Eric / Springstein, Matthias / Ewerth, Ralph | DataCite | 2017
    Schlagwörter: Deep Learning

    A state-of-the-art survey of deep learning models for automated pavement crack segmentation

    Freier Zugriff
    Hongren Gong / Liming Liu / Haimei Liang et al. | DOAJ | 2024
    Schlagwörter: Deep learning

    Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis

    Balogun, Ibrahim / Attoh-Okine, Nii | ASCE | 2023
    Schlagwörter: Deep learning

    Deep learning structure for collision avoidance planning of unmanned surface vessel

    Li, Yun / Zheng, Jian | SAGE Publications | 2021
    Schlagwörter: deep learning

    A New Framework for Regional Traffic Volumes Estimation with Large-Scale Connected Vehicle Data and Deep Learning Method

    Khadka, Swastik / Wang, Peirong “Slade” / Li, Pengfei “Taylor” et al. | ASCE | 2023
    Schlagwörter: Deep learning

    Network-Scale Passenger Flow Forecasting Methods in URT Based on Similarity Measurement

    Wang, Bao / Luo, Xia / Wang, Zongwei et al. | ASCE | 2023
    Schlagwörter: Deep learning

    Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data

    Morris, Clint / Yang, Jidong J. / Chorzepa, Mi Geum et al. | ASCE | 2022
    Schlagwörter: Self-supervised deep learning

    On the use of Fourier Features-Physics Informed Neural Networks (FF-PINN) for forward and inverse fluid mechanics problems

    Sallam, Omar / Fürth, Mirjam | SAGE Publications | 2023
    Schlagwörter: deep learning