Listar vol. 6, nº 4, december 2020 por tema 

Listarvol. 6, nº 4, december 2020 por tema "machine learning"

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    • Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF–SVM–Based Model 

      García Nieto, Paulino José; García-Gonzalo, Esperanza; Sánchez Lasheras, Fernando; Bernardo Sánchez, Antonio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      The purpose of chromium plating is the creation of a hard and wear-resistant layer of chromium over a metallic surface. The principal feature of chromium plating is its endurance in the face of the wear and corrosion. This ...

    • 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 ...

    • Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics 

      Mahmoud, Karar; Abdel-Nasser, Mohamed; Kashef, Heba; Puig, Domenec; Lehtonen, Matti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      In the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze ...