81–100 von 1,391 Ergebnissen
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    Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

    Freier Zugriff
    Furfaro R. / Scorsoglio A. / Linares R. et al. | BASE | 2020
    Schlagwörter: Deep reinfocement learning

    Driver-like decision-making method for vehicle longitudinal autonomous driving based on deep reinforcement learning

    Gao, Zhenhai / Yan, Xiangtong / Gao, Fei et al. | SAGE Publications | 2022
    Schlagwörter: Deep Q-Network , deep deterministic policy gradient , deep reinforcement learning

    Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy

    Freier Zugriff
    Aghi, Diego / Mazzia, Vittorio / Chiaberge, Marcello | BASE | 2020
    Schlagwörter: deep learning , transfer learning

    Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment

    Ye, Yingjun / Zhang, Xiaohui / Sun, Jian | Elsevier | 2019
    Schlagwörter: Deep reinforcement 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

    Train Track Crack Classification Using CNN

    Kumar, Manish / Visalakshi, P. | Trans Tech Publications | 2023
    Schlagwörter: Deep Learning

    Periodenübergreifende Budgetallokation in der Instandhaltung modularer Systeme - ein Anwendungsfall von Deep Reinforcement Learning

    Freier Zugriff
    Krause, Michael / Technische Universität Clausthal | TIBKAT | 2021
    Schlagwörter: Deep learning

    Towards efficient airline disruption recovery with reinforcement learning

    Ding, Yida / Wandelt, Sebastian / Wu, Guohua et al. | Elsevier | 2023
    Schlagwörter: Deep Reinforcement Learning

    DEEP LEARNING AND REAL TIME COMPUTER VISION BASED FEATURE MATCHING IN FLYING ADHOC NETWORKS

    Freier Zugriff
    Vijaya Karthik S. V | BASE | 2021
    Schlagwörter: Deep Learning

    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

    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

    Attention-based experience replay in deep Q-learning

    Freier Zugriff
    RAMICIC, MIRZA / BONARINI, ANDREA | BASE | 2017
    Schlagwörter: Deep learning , Deep reinforcement learning , Reinforcement learning

    Artificial intelligence based approach to improve the frequency control in hybrid power system

    Freier Zugriff
    Wang, Hao / Zhang, Guozhou / Hu, Weihao et al. | BASE | 2020
    Schlagwörter: Deep reinforcement learning

    Object detection for KRSBI robot soccer using PeleeNet on omnidirectional camera

    Freier Zugriff
    Winarno, Winarno / Agoes, Ali Suryaperdana / Agustin, Eva Inaiyah et al. | BASE | 2020
    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

    Speeding Up Optimization-based Motion Planning through Deep Learning

    Freier Zugriff
    Tenhumberg, Johannes / Darius, Burschka / Bäuml, Berthold | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Learning from Experience , Deep Learning Methods

    Deep Multiframe Enhancement for Motion Prediction in Video Compression

    Freier Zugriff
    Prette N. / Valsesia D. / Bianchi T. | BASE | 2021
    Schlagwörter: 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

    Freier Zugriff
    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

    Aerodynamics Analysis Tools for Flying Robots: Automated Tuft Recognition using Deep Learning

    Freier Zugriff
    Kai, Zhang | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 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