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1–20 von 112 Ergebnissen
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    Evolutionary Reinforcement Learning: Hybrid Approach for Safety-Informed Fault-Tolerant Flight Control

    Gavra, Vlad / van Kampen, Erik-Jan | AIAA | 2024
    Schlagwörter: Reinforcement Learning , Deep Reinforcement Learning

    Small-amplitude bogie hunting identification method for high-speed trains based on machine learning

    Guo, Jinying / Zhang, Gexiang / Shi, Huailong et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles

    Vaskov, Sean / Quirynen, Rien / Menner, Marcel et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Research on the air brake system of heavy haul trains based on neural network

    Zhou, Xinyi / Cheng, Shu / Yu, Tianjian et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Comparative analysis of multi-source data for machine learning-based LAI estimation in Argania spinosa

    Mouafik, Mohamed / Fouad, Mounir / Audet, Felix Antoine et al. | Elsevier | 2024
    Schlagwörter: Machine Learning

    Deep learning-assisted near-Earth asteroid tracking in astronomical images

    Du, Zhenhong / Jiang, Hai / Yang, Xu et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    A deep learning-based model for tropospheric wet delay prediction based on multi-layer 1D convolution neural network

    Bi, Haohang / Huang, Liangke / Zhang, Hongxing et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning

    Sarosi, Robert / Montomoli, Francesco / Li, Zhihui et al. | AIAA | 2024
    Schlagwörter: Machine Learning

    Drone Swarm Coordination Using Reinforcement Learning for Efficient Wildfires Fighting

    Blais, Marc-Andrė / Akhloufi, Moulay A. | Springer Verlag | 2024
    Schlagwörter: Reinforcement learning

    Deep Learning-Based Speed Breaker Detection

    VT, Mohamed Anas / Omar, Mohd / Ahamad, Jameel et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    On adaptive attitude tracking control of spacecraft: A reinforcement learning based gain tuning way with guaranteed performance

    Wei, Caisheng / Xiong, Yunwen / Chen, Qifeng et al. | Elsevier | 2023
    Schlagwörter: Reinforcement learning

    Vehicle yaw stability control with a two-layered learning MPC

    Zhang, Zhiming / Xie, Lei / Lu, Shan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: model learning

    Deep reinforcement learning spacecraft guidance with state uncertainty for autonomous shape reconstruction of uncooperative target

    Brandonisio, Andrea / Capra, Lorenzo / Lavagna, Michèle | Elsevier | 2023
    Schlagwörter: Reinforcement learning

    Robust multi-task learning and online refinement for spacecraft pose estimation across domain gap

    Park, Tae Ha / D’Amico, Simone | Elsevier | 2023
    Schlagwörter: Deep learning

    Comparative performance of Sentinel-2 MSI and Landsat-8 OLI data in canopy cover prediction using Random Forest model: Comparing model performance and tuning parameters

    Bera, Dipankar / Das Chatterjee, Nilanjana / Bera, Sudip et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Prediction of Zenith tropospheric delay in GNSS observations using support vector regression

    Akar, Ali Utku / Inal, Cevat | Elsevier | 2023
    Schlagwörter: Machine Learning

    Early wheel flat detection: an automatic data-driven wavelet-based approach for railways

    Mosleh, Araliya / Meixedo, Andreia / Ribeiro, Diogo et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: unsupervised learning

    Deep reinforcement learning-based antilock braking algorithm

    Mantripragada, V. Krishna Teja / Kumar, R. Krishna | Taylor & Francis Verlag | 2023
    Schlagwörter: reinforcement learning

    Maneuver Decision of Cooperative Air Combat within Visual Range Based on MATD3

    Freier Zugriff
    Zhang Dong, Tang Junlin, Xiong Wei, Ren Zhi, Yang Shuheng | DOAJ | 2023
    Schlagwörter: |ucav|cooperativeair combat|maneuver decision|multi-agent|deep reinforcement learning

    Liliana Garulli, Liliana Caraballo, Noemí Chalier, Mercedes Cafiero, Nomeolvides, Memoria de la Resistencia Peronista 1955-1972, Buenos Aires, Biblos, 2000, 378 páginas

    Freier Zugriff
    Francisco Omar Ruiz | DOAJ | 2023
    Schlagwörter: History of scholarship and learning. The humanities