Jesús García Guiliany

According to our database, Jesús García Guiliany authored at least 6 papers between 2019 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Improving the Performance in Occupational Health and Safety Management in the Electric Sector: An Integrated Methodology Using Fuzzy Multicriteria Approach.

Genett Jiménez-Delgado, Alexa Senior Naveda, Freddy Marín-Gonzalez, Jesús García Guiliany, Lina Fontalvo-Molina, Miguel Ruiz-Muñoz, Hugo Hernández Palma, Bertha Santos-Hernandez

Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Communication, Organization and Work, 2020

2019

An Early Warning Method for Basic Commodities Price Based on Artificial Neural Networks.

Jesús Silva, Noel Varela, Hugo Martínez Caraballo, Jesús García Guiliany, Luis Cabas Vásquez, Jorge Navarro Beltrán, Nadia León Castro

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

An Integrated Approach of Multiple Correspondences Analysis (MCA) and Fuzzy AHP Method for Occupational Health and Safety Performance Evaluation in the Land Cargo Transportation.

Genett Jiménez-Delgado, Nidia Balmaceda-Castro, Hugo Hernández Palma, Emiro de la Hoz Franco, Jesús García Guiliany, Jairo Martínez Ventura

Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body and Motion, 2019

U-Control Chart Based Differential Evolution Clustering for Determining the Number of Cluster in k-Means.

Jesús Silva, Omar Bonerge Pineda Lezama, Noel Varela, Jesús García Guiliany, Ernesto Joaquín Steffens Sanabria, Madelin Sánchez Otero, Vladimir Álvarez Rojas

Proceedings of the Green, Pervasive, and Cloud Computing - 14th International Conference, 2019

Student Performance Assessment Using Clustering Techniques.

Noel Varela, Edgardo Sánchez Montero, Carmen Vásquez, Jesús García Guiliany, Carlos Vargas Mercado, Nataly Orellano Llinás, Karina Batista Zea, Pablo Palencia

Proceedings of the Data Mining and Big Data - 4th International Conference, 2019

Analyzing and Predicting Power Consumption Profiles Using Big Data.

Amelec Viloria, Ronald Prieto Pulido, Jesús García Guiliany, Jairo Martínez Ventura, Hugo Hernández Palma, José Jinete Torres, Osman Redondo Bilbao, Omar Bonerge Pineda Lezama

Proceedings of the Dependability in Sensor, Cloud, and Big Data Systems and Applications, 2019