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

1–20 von 44 Ergebnissen
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    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

    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

    Multi-band Feature Images Concrete Crack Segmentation Framework Using Deep Learning

    Zhou, Shuang Xi / Pan, Yuan / Guan, Jingyuan et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Enhancing Vibration-based Damage Assessment with 1D-CNN: Parametric Studies and Field Applications

    Park, Soyeon / Kim, Sunjoong | Springer Verlag | 2024
    Schlagwörter: Deep Learning

    Inverse Design and Application Periodic Barriers for Isolating Ambient Vibration Based on Deep Learning

    Feng, Li / Guo, Jinhong | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Sequential Prediction of the TBM Tunnelling Attitude Based on Long-Short Term Memory with Mechanical Movement Principle

    Wang, Ruirui / Xiao, Yuhang / Guo, Qian et al. | Springer Verlag | 2024
    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

    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

    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

    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 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

    Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification

    Yu, Young Su / Kim, Si Hyun / Lee, Won Bok et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    A Framework for Improving Object Recognition of Structural Components in Construction Site Photos Using Deep Learning Approaches

    Park, Sang Mi / Lee, Jae Hee / Kang, Leen Seok | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Pore Structure Identification Method for Pervious Concrete Based on Improved UNet and Fusion Algorithm

    Yu, Fan / Li, Kailang / Zhang, Hua et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Development of Data-based Hierarchical Learning Model for Predicting Condition Rating of Bridge Members over Time

    Choi, Youngjin / Kong, Jungsik | Springer Verlag | 2023
    Schlagwörter: Deep learning

    What is the Impact of COVID-19 on Residential Water Use?

    Sung, Jang Hyun / Chung, Eun-Sung | Springer Verlag | 2023
    Schlagwörter: Deep learning