Browsing by Author "Lima Sigua, Juan Fernando"

Now showing 1 - 4 of 4

A methodology to develop an outdoor activities recommender based on air pollution variables
(Springer Science and Business Media Deutschland GmbH, 2022) Loja Arevalo, Pablo Santiago; Orellana Cordero, Marcos Patricio; Cedillo Orellana, Irene Priscila; Lima Sigua, Juan Fernando; Zambrano Martinez, Jorge Luis
Nowadays, the world faces a high level of environmental pollution. This phenomenon has become a constant challenge for our society due to its negative impact on health and the increased risk of disease. Considering this problem, applications, techniques and methodologies are generated that seek to relate atmospheric pollutants to each other to predict the state of the air. On the other hand, recommendation systems are present in numerous decision-making methods to find trends in various fields. Consequently, this work presents a methodology for a recommender system that provides people with the best hours to perform outdoor activities according to the pollutants found in the environment. The results obtained were verified through an evaluation and thus be able to contribute to the creation of new recommenders based on the previous topics
Data mining techniques applied in the neuropsychology domain: a systematic review
(IEEE explore, 2020) Alvear Padilla, Luis Miguel; Cedillo Orellana, Irene Priscila; Patiño León, Paúl Andrés; Lima Sigua, Juan Fernando; Bueno Pacheco, Gladys Alexandra; Acosta Uriguen, María Inés; Orellana Cordero, Marcos Patricio; Cordero Machuca, David Raúl
The vast amount of data collected in the health care field allows researchers to apply different data mining techniques that may support and improve patients’ condition. The neurocognitive field represents a new area of interest in which data mining techniques could be extremely useful to diagnose and treat impairments. This systematic literature review aims to identify the most relevant data mining techniques, tools, and approaches to collect, process, and represent results used in neuropsychology for the analysis of memory and cognitive attention. The results will contribute to the development of new tools to evaluate the neuropsychological variables cited before in elderly people in the context of a normal aging process.
Discovering patterns of time association among air pollution and meteorological variables
(Springer, 2021) Orellana Cordero, Marcos Patricio; Lima Sigua, Juan Fernando; Cedillo Orellana, Irene Priscila
Lately, there is a concern about to air pollution, which leads to environmental specialists discovering relevant causes of this phenomenon. Several factors determine the level of pollution, but it is necessary to find behavior patterns between air pollution and meteorological variables. The relations between these variables in distinct hours a day could give clues to discover essential patterns in their relationships. This study revealed relations among five air pollution variables and nine meteorological variables collected for one month in the city Cuenca-Ecuador. The method used considerer an evaluation of the essential time associations using time rolling windows and correlations. The results were revelated using visualization frames for dimensions such as time, correlation rate, and component relation, highlighting 57 strong correlations from 91 pairs of variables, the best positive correlation is between Ozone and Radiation UVA. The best negative correlation is Ozone and Dew Point, both throughout the day.
Documentation and scientific archiving: digital repository
(Springer Cham, 2020) Cedillo Chacon, Erick Santiago; Astudillo Rodriguez, Catalina Veronica; Lima Sigua, Juan Fernando; Verdugo Cárdenas, Gladys Jaqueline