Resultados de búsqueda - S*

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    Modeling Air Pollution in Metropolitan Lima: A Statistical and Artificial Neural Network Approach por Solis Teran, Miguel Angel, Leite Coelho da Silva, Felipe, Torres Armas, Elías A., Carbo‐Bustinza, Natalí, López Gonzales, Javier Linkolk

    Publicado 2025
    “…This study demonstrates that classical time series models, particularly ARIMA and SSA, achieve lower average forecast errors than LSTM across stations SMP, CRB, and ATE. …”
    Enlace permanente (DOI o Handle)
    Enlace permanente (DOI o Handle)
    Artículo
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    Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique por Iftikhar, Hasnain, Qureshi, Moiz, Canas Rodrigues, Paulo, Usman Iftikhar, Muhammad, López Gonzales, Javier Linkolk, Iftikhar, Hasnain

    Publicado 2025
    “…The secular non-linear trend series is modeled using various regression models, including linear, spline, lowess, and smoothing spline regression models. …”
    Enlace permanente (DOI o Handle)
    Enlace permanente (DOI o Handle)
    Artículo
  7. 9327

    Performance of Classification Algorithms Under Class Imbalance: Simulation and Real-World Evidence por Arshad, Iqra, Umair, Muhammad, Jan, Faheem, Iftikhar, Hasnain, Canas Rodrigues, Paulo, Ivan Gonzales Medina, Ronny, López Gonzales, Javier Linkolk

    Publicado 2025
    “…In this study, we conduct extensive simulations using synthetic datasets and evaluate five widely used classification algorithms: Logistic Regression (Logit), Support Vector Machines (SVM), Random Forest, XGBoost, and Neural Networks (NNs). …”
    Enlace permanente (DOI o Handle)
    Enlace permanente (DOI o Handle)
    Artículo
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