Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Miguel Angel Quiroz Martinez"'
Autor:
Miguel Angel Quiroz Martinez, Joseline Alfonsina Valdivieso Duarte, Monica Daniela Gomez Rios, Maikel Yelandi Leyva Vazquez
Publikováno v:
Serie Científica de la Universidad de las Ciencias Informáticas, Vol 13, Iss 6, Pp 121-134 (2020)
El proceso de diagnóstico a través del uso de criterios semiológicos y métodos complementarios es un arte complejo como la terapéutica aplicado a la identificación de la enfermedad responsable del padecimiento o la estimación del riesgo de que
Externí odkaz:
https://doaj.org/article/71fd7db6f9d34df88f0e42516eeec90e
Autor:
Miguel Angel Quiroz Martinez, Daniela Claudett Villalba, Monica Daniela Gomez Rios, Maikel Yelandi Leyva Vázquez
Publikováno v:
Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy.
Identifying COVID-19 carriers has become the first need worldwide, especially in crowded airports, stores, etc. There are systems based on infrared vision that can help recognize one of the most common symptoms of this pandemic disease: body temperat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdc1dbbf191c70b8ee0db260bc33e424
https://doi.org/10.54941/ahfe1001083
https://doi.org/10.54941/ahfe1001083
Autor:
Miguel Angel Quiroz Martinez, Ronald Darío Montoya Guillén, Galo Enrique Valverde Landivar, Maikel Yelandi Leyva Vázquez
Publikováno v:
Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy.
Breast cancer is a common disease and one of the leading causes of death globally; there are several methods, technologies, algorithms, or functions to detect their presence. The objective is to develop a benchmarking of activation functions in the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87b489fc1d36d6ad3ebee63a37705078
https://doi.org/10.54941/ahfe1001084
https://doi.org/10.54941/ahfe1001084
Publikováno v:
Trends in Artificial Intelligence and Computer Engineering ISBN: 9783030961466
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c42c454de881a1e2c47c17d9a1be1eb8
https://doi.org/10.1007/978-3-030-96147-3_16
https://doi.org/10.1007/978-3-030-96147-3_16
Autor:
Miguel Angel Quiroz Martinez, Eduardo Xavier Moreira Bermello, Wilmer Paul Carrillo Leon, Luis Briones
Publikováno v:
Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy.
The software is developed with much more complex functionalities to meet user requirements. Therefore, it is more vulnerable and subject to defects during the software development life cycle (SDLC). There are many efforts to avoid and reduce the numb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56aca4cf34d0976511470b96687bc628
https://doi.org/10.54941/ahfe1001088
https://doi.org/10.54941/ahfe1001088
Autor:
Miguel Angel Quiroz Martinez, Daniel Humberto Plua Moran, Josue Ricardo Borja Vernaza, Maikel Leyva Vázquez
Publikováno v:
Human Interaction, Emerging Technologies and Future Systems V ISBN: 9783030855390
IHIET (Paris)
IHIET (Paris)
The choice of the most suitable activation functions for artificial neural networks significantly affects training time and task performance. Breast cancer detection is currently based on the use of neural networks and their selection is an element t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2613666e7b629f7415f7b9a82db3fd95
https://doi.org/10.1007/978-3-030-85540-6_110
https://doi.org/10.1007/978-3-030-85540-6_110
Autor:
Miguel Angel Quiroz Martinez, Galo Enrique Valverde Landivar, Eddy Raul Montenegro Marin, Maikel Leyva Vázquez
Publikováno v:
Human Interaction, Emerging Technologies and Future Systems V ISBN: 9783030855390
IHIET (Paris)
IHIET (Paris)
Analysis of critical success factors allows software development organizations to focus on the factors to be successful. Selecting and implementing an algorithm for bosom cancer recognition could be hard. In this paper, a framework for modeling and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3000fcfc34c66391d94d9e9634befa53
https://doi.org/10.1007/978-3-030-85540-6_111
https://doi.org/10.1007/978-3-030-85540-6_111
Autor:
Galo Enrique Valverde Landivar, Jonathan Andrés España Arambulo, Maikel Leyva Vázquez, Miguel Angel Quiroz Martinez
Publikováno v:
Human Interaction, Emerging Technologies and Future Systems V ISBN: 9783030855390
IHIET (Paris)
IHIET (Paris)
On the current information in the medical area related to cancer analysis, the selection of an optimal Machine Learning algorithm, based on a multicriteria method, for a system that supports clinical decisions is sought. As a methodology, exploratory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5cb4c38ea759e6b0f9fb16d40c14614
https://doi.org/10.1007/978-3-030-85540-6_128
https://doi.org/10.1007/978-3-030-85540-6_128
Autor:
Miguel Angel Quiroz Martinez, Sulay Stephanie Camatón Paguay, Byron Alcívar Martínez Tayupanda, Luis Andy Briones Peñafiel
Publikováno v:
Human Interaction, Emerging Technologies and Future Systems V ISBN: 9783030855390
IHIET (Paris)
IHIET (Paris)
In today’s time, software quality assurance is the most essential and costly set of activities during software development in the information technology (IT) industries. Finding defects in system modules has always been one of the most relevant pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc7ba179b90be4d182d49ec4396d4668
https://doi.org/10.1007/978-3-030-85540-6_113
https://doi.org/10.1007/978-3-030-85540-6_113
Autor:
Maikel Leyva Vázquez, Juan Javier Trujillo Villegas, Miguel Angel Quiroz Martinez, Monica Daniela Gomez Rios
Publikováno v:
Human Interaction, Emerging Technologies and Future Systems V ISBN: 9783030855390
IHIET (Paris)
IHIET (Paris)
This study analyzes studies that have a methodological basis in the development of computer applications for the area of tourism supported by augmented reality technology. Augmented reality has proven to have great potential in learning due to its hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7625b6b27ccbf8bb0c771fa121797f35
https://doi.org/10.1007/978-3-030-85540-6_101
https://doi.org/10.1007/978-3-030-85540-6_101