Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes
- Orlando Iparraguirre-VillanuevaKarina Espinola-LinaresRosalynn Ornella Flores CastañedaM. Cabanillas-Carbonell
- 1 July 2023
Medicine, Computer Science
Five ML models, including K-nearest neighbor (K-NN), Bernoulli Naïve Bayes (BNB), decision tree (DT), logistic regression (LR), and support vector machine (SVM), are investigated to predict diabetic patients, showing that the K-NN and BNB models outperform the other models.
5G Technology in the Digital Transformation of Healthcare, a Systematic Review
- M. Cabanillas-CarbonellJorge Pérez-MartínezJaime A. Yáñez
- 9 February 2023
Medicine, Computer Science
This systematic review provides an analysis of the impact of the 5G network on the use of apps to improve healthcare and identifies the main medical applications identified as telesurgery, mobile ultrasound, biosensor technology, robotic surgery and connected ambulance.
Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means Algorithm
- Orlando Iparraguirre-VillanuevaVictor Guevara-PonceFernando Sierra-LiñanSaul Beltozar-ClementeM. Cabanillas-Carbonell
- 2022
Computer Science, Business
The sentiment analysis and the clusters formed indicate that there is a very pronounced dispersion, the distances are not very similar, even though the data standardization work was carried out.
Augmented reality mobile application to improve the astronomy teaching-learning process
- Saul Beltozar-ClementeFernando Sierra-LiñanJoselyn Zapata-PauliniM. Cabanillas-Carbonell
- 2022
Education, Computer Science
It can be concluded that the use of an Augmented Reality mobile application for the teaching-learning process significantly influences elementary school students in the subject of astronomy.
Web Application with Machine Learning for House Price Prediction
- Raúl Jáuregui-VelardeL. Andrade-ArenasDomingo Hernández CelisRoberto Carlos Dávila MoránM. Cabanillas-Carbonell
- 12 December 2023
Computer Science, Business
The developed prediction system facilitates real estate agencies and their customers the accurate prediction of the price of urban and rural housing, minimizing accuracy errors in price prediction, Benefiting all people interested in the real estate world.
Agente inteligente para la gestión de incidencias
- Orlando Iparraguirre-VillanuevaLuz Obregon-PalominoWilson Pujay-IglesiasM. Cabanillas-Carbonell
- 30 September 2023
RISTI - Revista Ibérica de Sistemas e Tecnologias…
Un agente inteligente (AI) utiliza la inteligencia artificial (IA) para dialogar con los usuarios; las incidencias son interrupciones que surgen y que impiden a los usuarios hacer uso de las…
Application Software Analysis for Children with Autism Spectrum Disorder: a Review of the Scientific Literature from 2005 - 2020
- Anny Cabanillas-TelloM. Cabanillas-Carbonell
- 29 October 2020
Computer Science, Medicine
2020 International Conference on e-Health and…
It was obtained as a result that the mobile applications are more used, in addition, these are oriented to develop the social skill of the autistic and it is necessary to include an adult for the use of these application software.
Business Intelligence, Based on the Ralph Kimball Methodology, for Decision-Making in General Management
- Alexander Aguilar-ChavezJeshua Banda-BarrientosM. Cabanillas-Carbonell
- 26 November 2021
Business, Computer Science
The development of a business intelligence tool that uses Ralph Kimball’s methodology for decision making and determines the influence he has on decision making is shown.
5G Technology for Innovation Education (Sustainable Development Goals 4): A Systematic Review
- Joselyn Zapata-PauliniM. Cabanillas-Carbonell
- 5 June 2024
Education, Engineering
Int. J. Eng. Pedagog.
It is clear that the adoption of 5G technology is influencing pedagogical methods, emphasising immersive learning, e-learning platforms, and flipped classrooms, and the main digital tools identified were artificial intelligence, the Internet of Things, virtual reality, and machine learning.
Disease Identification in Crop Plants based on Convolutional Neural Networks
- Orlando Iparraguirre-VillanuevaVictor Guevara-Ponce M. Cabanillas-Carbonell
- 2023
Agricultural and Food Sciences, Computer Science
This work aims to identify and classify diseases in crop plants, from the data set obtained from Plant Village, with images of diseased plant leaves and their corresponding Tags, using CNN with transfer learning.
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