Publicaciones (52) Publicaciones de PEDRO RIESGO FERNANDEZ

2022

  1. Restoring Coal Mining-Affected Areas: The Missing Ecosystem Services

    International Journal of Environmental Research and Public Health, Vol. 19, Núm. 21

2021

  1. Copper Price Time Series Forecasting by Means of Generalized Regression Neural Networks with Optimized Predictor Variables

    Advances in Intelligent Systems and Computing

  2. Copper Price Time Series Forecasting by Means of Generalized Regression Neural Networks with Optimized Predictor Variables

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

2020

  1. Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Optimizing predictor variables in artificial neural networks when forecasting raw material prices for energy production

    Energies, Vol. 13, Núm. 8

  3. Subsidence versus natural landslides when dealing with property damage liabilities in underground coal mines

    International Journal of Rock Mechanics and Mining Sciences, Vol. 126

2018

  1. A hybrid algorithm for the assessment of the influence of risk factors in the development of upper limb musculoskeletal disorders

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015

  1. Forecasting European thermal coal spot prices

    Journal of Sustainable Mining, Vol. 14, Núm. 4, pp. 203-210

  2. Forecasting the COMEX copper spot price by means of neural networks and ARIMA models

    Resources Policy, Vol. 45, pp. 37-43

  3. Investment in new tungsten mining projects

    Resources Policy, Vol. 46, pp. 177-190

2012

  1. Application of outburst risk indices in the underground coal mines by sublevel caving

    International Journal of Rock Mechanics and Mining Sciences, Vol. 50, pp. 94-101