1–20 von 200 Ergebnissen
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    GIS-based ensemble soft computing models for landslide susceptibility mapping

    Pham, Binh Thai / Phong, Tran Van / Nguyen-Thoi, Trung et al. | Elsevier | 2020
    Schlagwörter: Machine learning , Ensembles learning

    A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data

    Bagheri, Hossein | Elsevier | 2022
    Schlagwörter: Machine learning , Deep learning

    Propulsionless planar phasing of multiple satellites using deep reinforcement learning

    Smith, Brenton / Abay, Rasit / Abbey, Joshua et al. | Elsevier | 2020
    Schlagwörter: Reinforcement 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

    Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data

    Chauhan, Mamta / Sur, Koyel / Chauhan, Prakash et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Benchmarking deep learning approaches for all-vs-all conjunction screening

    Stevenson, Emma / Rodriguez-Fernandez, Victor / Urrutxua, Hodei et al. | Elsevier | 2023
    Schlagwörter: Deep learning , Machine learning

    Modeling irregular small bodies gravity field via extreme learning machines and Bayesian optimization

    Furfaro, Roberto / Barocco, Riccardo / Linares, Richard et al. | Elsevier | 2020
    Schlagwörter: Extreme learning machine

    Deep-learning for ionogram automatic scaling

    Xiao, Zhuowei / Wang, Jian / Li, Juan et al. | Elsevier | 2020
    Schlagwörter: Deep-learning

    Multi-agent Q-Learning control of spacecraft formation flying reconfiguration trajectories

    Kankashvar, Mohammadrasoul / Bolandi, Hossein / Mozayani, Nasser | Elsevier | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    One day ahead prediction of global TEC using Pix2pixhd

    Yang, Ding / Li, Qingfeng / Fang, Hanxian et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Prediction of ionospheric total electron content data using spatio-temporal residual network

    Shenvi, Nayana / Chandrasekhar, E. / Kumar, Anurag et al. | Elsevier | 2023
    Schlagwörter: Machine learning , Deep learning

    Sunspot cycle prediction using Warped Gaussian process regression

    Gonçalves, Ítalo G. / Echer, Ezequiel / Frigo, Everton | Elsevier | 2019
    Schlagwörter: Machine learning

    Spacecraft attitude fault-tolerant stabilization against loss of actuator Effectiveness: A novel iterative learning sliding mode approach

    Jia, Qingxian / Ma, Rui / Zhang, Chengxi et al. | Elsevier | 2023
    Schlagwörter: Iterative Learning observer , Iterative Learning sliding mode control

    Trajectory tracking for autonomous vehicles on varying road surfaces by friction-adaptive nonlinear model predictive control

    Berntorp, K. / Quirynen, R. / Uno, T. et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: parameter learning

    A machine learning approach for accurate crop type mapping using combined SAR and optical time series data

    Tufail, Rahat / Ahmad, Adeel / Javed, Muhammad Asif et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    A new deep learning approach for hyperspectral image classification based on multifeature local kernel descriptors

    Asghari Beirami, Behnam / Mokhtarzade, Mehdi | Elsevier | 2023
    Schlagwörter: Deep learning

    Optimization of One versus All-SVM using AdaBoost algorithm for rainfall classification and estimation from multispectral MSG data

    Belghit, Amar / Lazri, Mourad / Ouallouche, Fethi et al. | Elsevier | 2022
    Schlagwörter: Machine Learning

    A random forest algorithm for nowcasting of intense precipitation events

    Das, Saurabh / Chakraborty, Rohit / Maitra, Animesh | Elsevier | 2017
    Schlagwörter: Machine learning