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

61–80 von 182 Ergebnissen
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    Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations

    Li, Guopeng / Knoop, Victor L. / van Lint, Hans | Elsevier | 2021
    Schlagwörter: Deep learning

    Explainable, automated urban interventions to improve pedestrian and vehicle safety

    Bustos, C. / Rhoads, D. / Solé-Ribalta, A. et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Prediction of solar cycle 25 using deep learning based long short-term memory forecasting technique

    Prasad, Amrita / Roy, Soumya / Sarkar, Arindam et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach

    Pang, Yutian / Zhao, Xinyu / Yan, Hao et al. | Elsevier | 2021
    Schlagwörter: Bayesian deep learning

    Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles

    Xing, Yang / Lv, Chen / Cao, Dongpu et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    The automated prediction of solar flares from SDO images using deep learning

    Abed, Ali K / Qahwaji, Rami / Abed, Ahmed | Elsevier | 2021
    Schlagwörter: Deep learning

    A physics-informed deep learning paradigm for car-following models

    Mo, Zhaobin / Shi, Rongye / Di, Xuan | Elsevier | 2021
    Schlagwörter: Physics-informed deep learning (PIDL)

    Variance-based global sensitivity analysis for rear-end crash investigation using deep learning

    Moussa, Ghada S. / Owais, Mahmoud / Dabbour, Essam | Elsevier | 2021
    Schlagwörter: Deep learning

    Flight time prediction for fuel loading decisions with a deep learning approach

    Zhu, Xinting / Li, Lishuai | Elsevier | 2021
    Schlagwörter: Deep learning

    Recurrent neural network model to predict re-entry trajectories of uncontrolled space objects

    Jung, Okchul / Seong, Jaedong / Jung, Youyeun et al. | Elsevier | 2021
    Schlagwörter: Deep Learning

    Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning

    Li, Zhenning / Yu, Hao / Zhang, Guohui et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    A deep learning approach to solar radio flux forecasting

    Stevenson, Emma / Rodriguez-Fernandez, Victor / Minisci, Edmondo et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    On the estimation of traffic speeds with Deep Convolutional Neural Networks given probe data

    Rempe, Felix / Franeck, Philipp / Bogenberger, Klaus | Elsevier | 2021
    Schlagwörter: Deep learning

    A deep learning based traffic crash severity prediction framework

    Rahim, Md Adilur / Hassan, Hany M. | Elsevier | 2021
    Schlagwörter: Deep learning

    Graph to sequence learning with attention mechanism for network-wide multi-step-ahead flight delay prediction

    Bao, Jie / Yang, Zhao / Zeng, Weili | Elsevier | 2021
    Schlagwörter: Deep learning

    Deep learning model for predicting daily IGS zenith tropospheric delays in West Africa using TensorFlow and Keras

    Osah, Samuel / Acheampong, Akwasi A. / Fosu, Collins et al. | Elsevier | 2021
    Schlagwörter: Deep Learning

    GPS data-based mobility mode inference model using long-term recurrent convolutional networks

    Kim, Jinsoo / Kim, Jae Hun / Lee, Gunwoo | Elsevier | 2021
    Schlagwörter: Deep learning

    Fast Dst computation by applying deep learning to Swarm satellite magnetic data

    Cianchini, Gianfranco / Piscini, Alessandro / De Santis, Angelo et al. | Elsevier | 2021
    Schlagwörter: Deep learning