According to the World Health Organization, 2.2 billion people globally have some vision impairment. Blind and vision impairment children can undergo poor motor, language, and cognitive evolution, bringing lower levels of educational success. Our proposal aims to design and develop a one-character refreshable braille display that is affordable and easy to use through the Internet of Things (IoT) technology. Reading is essential to acquire knowledge by allowing an affordable form of reading based on braille, a handy tool for teaching and training blind and visually impaired peop...

Genomic selection (GS) changed the way plant breeders select genotypes. GS takes advantage of phenotypic and genotypic information to training a statistical machine learning model, which is used to predict phenotypic (or breeding) values of new lines for which only genotypic information is available. Therefore, many statistical machine learning methods have been proposed for this task. Multi-trait (MT) genomic prediction models take advantage of correlated traits to improve prediction accuracy. Therefore, some multivariate statistical machine learning methods are popular for GS...

Intelligence capabilities will be the cornerstone in the development of next-generation cognitive networks. These capabilities allow them to observe network conditions, learn from them, and then, using prior knowledge gained, respond to its operating environment to optimize network performance. This study aims to offer an overview of the current state of the art related to the use of deep learning in applications for intelligent cognitive networks that can serve as a reference for future initiatives in this field. For this, a systematic literature review was carried out in thre...

With the increase in global life expectancy and the advance of technology, the creation of age-friendly environments is a priority in the design of new products for elderly people healthcare. This paper presents a proposal for a real-time health monitoring system of older adults living in geriatric residences. This system was developed to help caregivers to have a better control in monitoring the health of their patients and have closer communication with their patients’ family members. To validate the feasibility and effectiveness of this proposal, a prototype was built, using a biometric b...

Aim/background: in view of the growing demand for food, new methodologies are needed to improve the genomic selection (GS) methodology to obtain more productive plant varieties and there is empirical evidence that GS it is revolutionizing plant breeding for food production around the world. Methods: since the prediction models play a key role in GS, for this reason Montesinos-López et al. (2018) proposed the item based collaborative filtering (IBCF) algorithm for Genomic prediction. For this reason, in this paper we compare the IBCF algorithm with the most popular genomic prediction model cal...

The changes of the Fourth Industrial Revolution (Industry 4.0) are inevitable in all areas of daily life, from government to healthcare and commerce, including the educational field. Education 4.0 brings potential challenges to schools around the globe, such as digital technology, personalized data, and a connected world. Thus, this paper presents a Mexican case study about a classroom enhanced with digital technology to study the challenges that both students and teachers face to acquire and transmit the skills and competencies that Industry 4.0 requires. As a preliminary result, we found tha...