Listar por autor "Thurnhofer Hemsi, Karl Khader"
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Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering
Molina-Cabello, Miguel Angel
; Thurnhofer Hemsi, Karl Khader; Molina Cabello, David; Palomo-Ferrer, Esteban Jose (Wiley, 2023)
Knowing student learning styles represents an effective way to design the most suitable methodology for our students so that performance can improve with less effort for both students and teachers. However, a methodology ... -
Robust computational intelligence techniques for visual information processing
(UMA Editorial, 2021-05-12)This Ph.D. thesis is about image processing by computational intelligence techniques. Firstly, a general overview of this book is carried out, where the motivation, the hypothesis, the objectives, and the methodology ...