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Mostrando ítems 1-3 de 3

    • An Integrated Framework for COVID-19 Classification Based on Ensembles of Deep Features and Entropy Coded GLEO Feature Selection 

      Fayyaz, Abdul Muiz; Raza, Mudassar; Sharif, Muhammad; Shah, Jamal Hussain; Kadry, Seifedine; Sanjuán Martínez, Óscar (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2023)
      COVID-19 is a challenging worldwide pandemic disease nowadays that spreads from person to person in a very fast manner. It is necessary to develop an automated technique for COVID-19 identification. This work investigates ...

    • COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach 

      Saiz, Fátima; Barandiaran, Iñigo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      The Corona Virus Disease (COVID-19) is an infectious disease caused by a new virus that has not been detected in humans before. The virus causes a respiratory illness like the flu with various symptoms such as cough or ...

    • Data Science Techniques for COVID-19 in Intensive Care Units 

      Muñoz Lezcano, Sergio; López Hernández, Fernando Carlos; Corbi, Alberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Data scientists aim to provide techniques and tools to the clinicians to manage the new coronavirus disease. Nowadays, new emerging tools based on Artificial Intelligence (AI), Image Processing (IP) and Machine Learning ...