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

1–20 von 40 Ergebnissen
|

    Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data

    Li, Linchao / Zhu, Jiasong / Zhang, Hailong et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Deep learning of user behavior in shared spaces

    Cheng, Hao / Gottfried Wilhelm Leibniz Universität Hannover | TIBKAT | 2021
    Schlagwörter: Deep learning

      Deep learning of user behavior in shared spaces

      Cheng, Hao / Gottfried Wilhelm Leibniz Universität Hannover | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2021
      Schlagwörter: Deep learning

    The impacts of visual street environments on obesity: The mediating role of walking behaviors

    Kim, Ji-Il / Yu, Chia-Yuan / Woo, Ayoung | Elsevier | 2023
    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

    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

    Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction

    Kim, Dohoon / Kim, Eungcheol | Taylor & Francis Verlag | 2023
    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

    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

    Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach

    Ding, Hongliang / Lu, Yuhuan / Sze, N.N. et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Date Estimation in the Wild Images

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

    Estimating city-wide hourly bicycle flow using a hybrid LSTM MDN

    Myhrmann, Marcus Skyum / Mabit, Stefan Eriksen | Elsevier | 2023
    Schlagwörter: Deep Learning

    Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis

    Balogun, Ibrahim / Attoh-Okine, Nii | ASCE | 2023
    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

    Parking occupancy prediction under COVID-19 anti-pandemic policies: A model based on a policy-aware temporal convolutional network

    Niu, Zhipeng / Hu, Xiaowei / Fatmi, Mahmudur et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    A deep learning traffic flow prediction framework based on multi-channel graph convolution

    Zhao, Yuanmeng / Cao, Jie / Zhang, Hong et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning