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Optimización de algoritmos científicos en sistemas heterogéneos y aceleradores para computación de altas prestaciones
(Universidad de Córdoba, UCOPress, 2023)
Actualmente, la computación de propósito general en GPU es uno de los pilares básicos
de la computación de alto rendimiento. Aunque existen cientos de aplicaciones
aceleradas en GPU, aún hay algoritmos científicos poco ...
Determining the Difficulties of Students With Dyslexia via Virtual Reality and Artificial Intelligence: An Exploratory Analysis
(IEEE, 2022)
Learning disorders are neurological conditions that affect the brain’s ability to interconnect communication areas. Dyslexic students experience problems with reading, memorizing, and exposing concepts; however the magnitude ...
Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules
(IEEE, 2022)
Homelessness is a social and health problem with great repercussions in Europe. Many non-governmental organisations help homeless people by collecting and analysing large amounts of information about them. However, these ...
Training program on sign language: social inclusion through Virtual Reality in ISENSE project
(IEEE, 2023)
Structured hand gestures that incorporate visual
motions and signs are used in sign language. Sign language is
a valuable means of daily communication for individuals who
are deaf or have speech impairments, but it is ...
Jewelry Recognition via Encoder-Decoder Models
(IEEE, 2023)
Jewelry recognition is a complex task due to the
different styles and designs of accessories. Precise descriptions
of the various accessories is something that today can only be
achieved by experts in the field of ...
A VR Serious Game to Increase Empathy towards Students with Phonological Dyslexia
(IEEE, 2023)
Dyslexia is a neurodevelopmental disorder that is
estimated to affect about 5-10% of the population. In particular,
phonological dyslexia causes problems in connecting the sounds
of words with their written forms. This ...
Fiducial objects: custom design and evaluation
(MDPI, 2023)
Camera pose estimation is vital in fields like robotics, medical imaging, and augmented reality. Fiducial markers, specifically ArUco and Apriltag, are preferred for their efficiency. However, their accuracy and viewing ...
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization
(Elsevier, 2020)
The wide availability of specific courses together with the flexibility of academic plans in university
studies reveal the importance of Recommendation Systems (RSs) in this area. These systems appear
as tools that help ...
Text mining in education
(Wiley, 2019)
The explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among others. It produces exciting challenges ...
Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners
(Taylor & Francis, 2019)
The aim of this paper is to categorize and describe di erent types of learners in mas-
sive open online courses (MOOCs) by means of a subgroup discovery approach based
on MapReduce. The nal objective is to discover ...