Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Neil Hernández-Gress"'
Publikováno v:
Informatics, Vol 11, Iss 1, p 6 (2024)
Current research on the career satisfaction of graduates limits educational institutions in devising methods to attain high career satisfaction. Thus, this study aims to use data science models to understand and predict career satisfaction based on i
Externí odkaz:
https://doaj.org/article/6826ac74c4244f2291768cac9a44fe76
Publikováno v:
Informatics, Vol 10, Iss 1, p 23 (2023)
This study shows the significant features predicting graduates’ job levels, particularly high-level positions. Moreover, it shows that data science methodologies can accurately predict graduate outcomes. The dataset used to analyze graduate outcome
Externí odkaz:
https://doaj.org/article/7cb770176bdc4ae587ca08d32074340b
Autor:
Francisca Santana Robles, Eva Selene Hernández-Gress, Neil Hernández-Gress, Rafael Granillo Macias
Publikováno v:
Algorithms, Vol 14, Iss 12, p 364 (2021)
Everyday there are more disasters that require Humanitarian Supply Chain (HSC) attention; generally these problems are difficult to solve in reasonable computational time and metaheuristics (MHs) are the indicated solution algorithms. To our knowledg
Externí odkaz:
https://doaj.org/article/eb91ce020640421fbc6df6b024682a02
Publikováno v:
Administrative Sciences, Vol 11, Iss 4, p 134 (2021)
This paper presents a methodology for designing a humanitarian supply chain (HSC) for immunization in Mexico. The study analyzes the abilities of HSCs provided in the literature and those that are relevant for the HSC vaccination in Mexico. In additi
Externí odkaz:
https://doaj.org/article/c2aa565095ea411183b1ce976ac2027a
Publikováno v:
Future Internet, Vol 13, Iss 2, p 41 (2021)
Research professors develop scientific products that impact and benefit society, but their competencies in doing so are rarely evaluated. Therefore, by employing a mixed two-stage sequential design, this study developed a self-assessment model of res
Externí odkaz:
https://doaj.org/article/c43d973b9ca64fbf9e7c98c5111eab90
Autor:
Daniela Alejandra Gomez Cravioto, Hector Gibran Ceballos Cancino, Neil Hernández Gress, Michael Alexander Zenkl Galaz, Ramon Eduardo Diaz Ramos
Publikováno v:
2020 International Conference on Computer Science and Software Engineering (CSASE).
In Mexico, higher education is constantly suffering from low percentage of placement and interest of individuals for a graduate degree. Mexico needs more postgraduate students to increase the research and development activities and boost innovation i
Publikováno v:
Administrative Sciences, Vol 11, Iss 134, p 134 (2021)
Administrative Sciences
Volume 11
Issue 4
Administrative Sciences
Volume 11
Issue 4
This paper presents a methodology for designing a humanitarian supply chain (HSC) for immunization in Mexico. The study analyzes the abilities of HSCs provided in the literature and those that are relevant for the HSC vaccination in Mexico. In additi
Publikováno v:
Research in Computing Science. 72:127-135
Resumen. En este articulo se analizaran los aspectos mas importantes para la paralelizacion de algoritmos. Por lo que nuestro interes sobre el tema es debido a sus multiples campos de aplicacion con el proposito principal es acelerar la velocidad de
Publikováno v:
Advances in Soft Computing ISBN: 9783319624273
MICAI (2)
MICAI (2)
Molecular Docking faces problems related to Curse of dimensionality, due to the fact that it analyzes data with high dimensionality and few samples. (Ligand-Based Virtual Screening) conducts studies of docking among molecules using common attributes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::159ecb602208619e6c6531785b494024
https://doi.org/10.1007/978-3-319-62428-0_34
https://doi.org/10.1007/978-3-319-62428-0_34
Publikováno v:
Intelligent Control and Automation. :46-59
The replacement problem can be modeled as a finite, irreducible, homogeneous Markov Chain. In our proposal, we modeled the problem using a Markov decision process and then, the instance is optimized using linear programming. Our goal is to analyze th