Synonyme wurden verwendet für: learning  deep learning
Suche ohne Synonyme: keywords:( deep learning)

41–60 von 768 Ergebnissen
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    Integrated deep learning and stochastic car-following model for traffic dynamics on multi-lane freeways

    Lee, Seunghyeon / Ngoduy, Dong / Keyvan-Ekbatani, Mehdi | Elsevier | 2019
    Schlagwörter: Deep learning

    A data-driven lane-changing behavior detection system based on sequence learning

    Gao, Jun / Murphey, Yi Lu / Yi, Jiangang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: sequence learning , deep LSTM

    Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach

    Cheng, Yanqiu / Hu, Xianbiao / Chen, Kuanmin et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep Q-learning , reinforcement learning

    Construction of a deep sparse filtering network for rotating machinery fault diagnosis

    Cheng, Chun / Zou, Wei / Wang, Weiping et al. | SAGE Publications | 2022
    Schlagwörter: deep neural network , deep learning

    Imbalanced satellite telemetry data anomaly detection model based on Bayesian LSTM

    Chen, Junfu / Pi, Dechang / Wu, Zhiyuan et al. | Elsevier | 2020
    Schlagwörter: Bayesian deep learning

    WilDa - Dynamische Wildunfallwarnung unter Verwendung heterogener Verkehrs-, Unfall- und Umweltdaten sowie Big Data Ansätze : Abschlussbericht aller Partner : im Rahmen der Fördermaßnahme: Modernitätsfonds/mFUND/Förderlinie 2 des BMI : Berichtszeitraum: 01.04.2017-30.09.2020

    Technische Hochschule Deggendorf, Institut für Angewandte Informatik / Albert-Ludwigs-Universität Freiburg, Professur für Wildtierökologie und Wildtiermanagement / Technische Hochschule Deggendorf, Institut für Existenzgründung | TIBKAT | 2021
    Schlagwörter: Deep learning

    Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach

    Zhao, Jingya / Liu, Pan / Xu, Chengcheng et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework

    Li, Jinlong / Xu, Zhigang / Fu, Lan et al. | Elsevier | 2020
    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: Multi-agent reinforcement learning , Deep learning

    AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

    Li, Huanhuan / Jiao, Hang / Yang, Zaili | Elsevier | 2023
    Schlagwörter: Machine learning , Deep learning

    A deep learning based traffic crash severity prediction framework

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

    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

    Recurrent and convolutional neural networks for deep terrain classification by autonomous robots

    Vulpi, Fabio / Milella, Annalisa / Marani, Roberto et al. | Elsevier | 2020
    Schlagwörter: Deep-learning

    An effective spatial-temporal attention based neural network for traffic flow prediction

    Do, Loan N.N. / Vu, Hai L. / Vo, Bao Q. et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Deep learning-based spacecraft relative navigation methods: A survey

    Song, Jianing / Rondao, Duarte / Aouf, Nabil | Elsevier | 2021
    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

    Path planning for asteroid hopping rovers with pre-trained deep reinforcement learning architectures

    Jiang, Jianxun / Zeng, Xiangyuan / Guzzetti, Davide et al. | Elsevier | 2020
    Schlagwörter: Deep reinforcement learning

    Applying deep learning models to twitter data to detect airport service quality

    Barakat, H. / Yeniterzi, R. / Martín-Domingo, L. | Elsevier | 2020
    Schlagwörter: Deep learning

    Semi-Supervised Active Learning for Anomaly Detection in Aviation

    Memarzadeh, Milad / Matthews, Bryan / Templin, Thomas et al. | AIAA | 2023
    Schlagwörter: Feature Learning , Deep Learning , Active Learning

    Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

    Liu, Teng | TIBKAT | 2019
    Schlagwörter: Deep learning , Bestärkendes Lernen (Künstliche Intelligenz)

      Reinforcement learning-enabled intelligent energy management for hybrid electric vehicles

      Liu, Teng | TIBKAT | 2019
      Schlagwörter: Deep learning , Bestärkendes Lernen (Künstliche Intelligenz)