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

81–100 von 1,364 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

    Deep learning based multi-modal perception and semi-automatic labelling algorithms for automotive sensor data

    Freier Zugriff
    Haase-Schütz, Christian | TIBKAT | 2024
    Schlagwörter: Deep learning , Maschinelles Lernen

    Echtzeitfähige Schätzung generischer Linienzüge für das kartenlose automatisierte Fahren mittels Deep Learning

    Freier Zugriff
    Meyer, Annika | TIBKAT | 2023
    Schlagwörter: Deep learning , Maschinelles Lernen

    Model-free perimeter metering control for two-region urban networks using deep reinforcement learning

    Zhou, Dongqin / Gayah, Vikash V. | Elsevier | 2020
    Schlagwörter: Model free deep reinforcement learning (Deep-RL)

    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

    Benchmarking deep reinforcement learning for continous control

    Freier Zugriff
    Duan, Yan / Chen, Xi / Houthooft, Rein et al. | BASE | 2016
    Schlagwörter: deep learning , reinforcement learning

    Machine learning and deep learning

    Freier Zugriff
    Janiesch, Christian / Zschech, Patrick / Heinrich, Kai | Online Contents | 2021
    Schlagwörter: Deep learning , Machine 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

    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

    Attention-based experience replay in deep Q-learning

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

    Train Track Crack Classification Using CNN

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

    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

    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

    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

    Towards efficient airline disruption recovery with reinforcement learning

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

    CT-DQN: Control-Tutored Deep Reinforcement Learning

    Freier Zugriff
    De Lellis, Francesco / Coraggio, Marco / Russo, Giovanni et al. | BASE | 2023
    Schlagwörter: Reinforcement learning based control , deep reinforcement 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