• “Breast Cancer Prediction using Machine Learning Models“ 

      Iparraguirre-Villanueva, Orlando; Epifanía-Huerta, Andrés; Torres-Ceclén, Carmen; Ruiz-Alvarado, John; Cabanillas-Carbonel, Michael (Science and Information Organization, 2023)
      Acceso abierto
      Breast cancer is a type of cancer that develops in the cells of the breast. Treatment for breast cancer usually involves X-ray, chemotherapy, or a combination of both treatments. Detecting cancer at an early stage can save ...
    • “Comparison of Predictive Machine Learning Models to Predict the Level of Adaptability of Students in Online Education“ 

      Iparraguirre-Villanueva, Orlando; Torres-Ceclén, Carmen; Epifanía-Huerta, Andrés; Castro-Leon, Gloria; Melgarejo-Graciano, Melquiades; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (Science and Information Organization, 2023)
      Acceso abierto
      “With the onset of the COVID-19 pandemic, online education has become one of the most important options available to students around the world. Although online education has been widely accepted in recent years, the ...
    • Disease Identification in Crop Plants based on Convolutional Neural Networks 

      Iparraguirre-Villanueva, Orlando; Guevara-Ponce, Victor; Torres-Ceclén, Carmen; Ruiz-Alvarado, John; Castro-Leon, Gloria; Roque-Paredes, Ofelia; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (Science and Information Organization, 2023)
      Acceso abierto
      “The identification, classification and treatment of crop plant diseases are essential for agricultural production. Some of the most common diseases include root rot, powdery mildew, mosaic, leaf spot and fruit rot. ...