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

1–20 von 768 Ergebnissen
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    2D-supervised fast neural fluid reconstruction technique for time-resolved volumetric flame reconstruction

    Zhang, Fuhao / Zhang, Weixuan / Gong, Shuicheng et al. | Elsevier | 2023
    Schlagwörter: Deep learning , Transfer learning

    6-DOF Reinforcement Learning Control for Multi-rotor and Fixed-Wing Aircrafts

    Sheng, Zhang / Pan, Zhou / Jiale, Quan et al. | Springer Verlag | 2023
    Schlagwörter: Deep reinforcement learning

    A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models

    Sengupta, Agnimitra / Mondal, Sudeepta / Das, Adway et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    A Bayesian deep learning method for freeway incident detection with uncertainty quantification

    Liu, Genwang / Jin, Haolin / Li, Jiaze et al. | Elsevier | 2022
    Schlagwörter: Bayesian deep learning , Machine learning

    A bi-level control framework with temperature rise inference and intelligent decision-making longitudinal control on downgrade hydrodynamic braking process

    Chen, Xiuqi / Wei, Wei / Tao, Tianlang et al. | SAGE Publications | 2024
    Schlagwörter: double deep Q network , deep reinforcement learning

    A bi-level cooperative operation approach for AGV based automated valet parking

    Zhang, Jiawei / Li, Zhiheng / Li, Li et al. | Elsevier | 2021
    Schlagwörter: Deep reinforcement learning (DRL)

    A bi-objective deep reinforcement learning approach for low-carbon-emission high-speed railway alignment design

    He, Qing / Gao, Tianci / Gao, Yan et al. | Elsevier | 2022
    Schlagwörter: Bi-objective deep reinforcement learning

    Accident Detection in Surveillance Camera

    Adil, A. P. / Anandhu, M. G. / Joy, Jeovan Elsa et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    A cold-start-free reinforcement learning approach for traffic signal control

    Xiao, Nan / Yu, Liang / Yu, Jinqiang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning , reinforcement learning

    A comparative study on class-imbalanced gas turbine fault diagnosis

    Bai, Mingliang / Liu, Jinfu / Long, Zhenhua et al. | SAGE Publications | 2023
    Schlagwörter: machine learning , deep neural network , class-imbalanced learning

    A Comparison of Deep Learning-Based Monocular Visual Odometry Algorithms

    Jeong, Eunju / Lee, Jaun / Kim, Pyojin | Springer Verlag | 2022
    Schlagwörter: Deep Learning

    A convolutional neural network method to improve efficiency and visualization in modeling driver’s visual field on roads using MLS data

    Ma, Yang / Zheng, Yubing / Cheng, Jianchuan et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    A critical review on the state-of-the-art and future prospects of machine learning for Earth observation operations

    Miralles, Pablo / Thangavel, Kathiravan / Fulvio Scannapieco, Antonio et al. | Elsevier | 2023
    Schlagwörter: Machine Learning , Deep Learning , Deep Neural Network , Reinforcement Learning , Learning Vector Quantization , DEpendable and Expandable Learning , Deep Reinforcement Learning

    A customized deep learning approach to integrate network-scale online traffic data imputation and prediction

    Zhang, Zhengchao / Lin, Xi / Li, Meng et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    A Damage Localization Approach for Rahmen Bridge Based on Convolutional Neural Network

    Lee, Kanghyeok / Byun, Namju / Shin, Do Hyoung | Springer Verlag | 2020
    Schlagwörter: Deep learning

    AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks

    Zhang, Wei / Zhu, Fenghua / Lv, Yisheng et al. | Elsevier | 2022
    Schlagwörter: Adaptive graph learning , Deep learning

    Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

    Furfaro, Roberto / Scorsoglio, Andrea / Linares, Richard et al. | Elsevier | 2020
    Schlagwörter: Deep reinfocement learning

    Adaptive Interfered Fluid Dynamic System Algorithm Based on Deep Reinforcement Learning Framework

    Zhang, Yunfei / Wang, Honglun | Springer Verlag | 2022
    Schlagwörter: Deep reinforcement learning