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    A tropical Atlantic dynamics analysis by combining machine learning and satellite data

    Arnault, Sabine / Thiria, Sylvie / Crépon, Michel et al. | Elsevier | 2020
    Schlagwörter: Machine learning self-organizing map

    A data-driven dynamics simulation framework for railway vehicles

    Nie, Yinyu / Tang, Zhao / Liu, Fengjia et al. | Taylor & Francis Verlag | 2018
    Schlagwörter: machine learning

    Machine Learning–Aided Synthetic Air Data System for Commercial Aircraft

    Kilic, Ugur / Cam, Omer / Can, Erol | ASCE | 2024
    Schlagwörter: Machine learning

    Atmospheric precursors from multiple satellites associated with the 2020 Mw 6.5 Idaho (USA) earthquake

    Qasim, Muhammad / Shah, Munawar / Shahzad, Rasim et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    A fault tolerant neural network for space-based 3D printing quality assessment

    Tang, Jianning / Wu, Xiaofeng | Elsevier | 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

    Composition and source based aerosol classification using machine learning algorithms

    Annapurna, S.M / Anitha, M. / Sutha Kumar, Lakshmi | Elsevier | 2023
    Schlagwörter: Machine learning

    Automated detection of new impact sites on Martian surface from HiRISE images

    Xin, Xin / Di, Kaichang / Wang, Yexin et al. | Elsevier | 2017
    Schlagwörter: Machine learning

    Spatial modeling of flood probability using geo-environmental variables and machine learning models, case study: Tajan watershed, Iran

    Avand, Mohammadtaghi / Moradi, Hamidreza / lasboyee, Mehdi Ramazanzadeh | Elsevier | 2021
    Schlagwörter: Machine 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

    Radar Target Detection

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Automotive Radar Applications

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Integrating the Sentinel-1, Sentinel-2 and topographic data into soybean yield modelling using machine learning

    Amankulova, Khilola / Farmonov, Nizom / Omonov, Khasan et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Relative motion guidance for near-rectilinear lunar orbits with path constraints via actor-critic reinforcement learning

    Scorsoglio, Andrea / Furfaro, Roberto / Linares, Richard et al. | Elsevier | 2022
    Schlagwörter: Machine learning , Reinforcement learning

    Radar Waveforms and Their Mathematical Models

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Direction of Arrival (DOA) Estimation

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Signal Processing for Radar Systems

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Modelling human health vulnerability using different machine learning algorithms in stone quarrying and crushing areas of Dwarka river Basin, Eastern India

    Mandal, Indrajit / Pal, Swades | Elsevier | 2020
    Schlagwörter: Machine learning algorithms

    Estimation of grassland height using optical and SAR remote sensing data

    Zhang, Lei / Ren, Hongrui | Elsevier | 2023
    Schlagwörter: Machine learning method

    Prediction of crop yield using satellite vegetation indices combined with machine learning approaches

    Jhajharia, Kavita / Mathur, Pratistha | Elsevier | 2023
    Schlagwörter: Machine Learning

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