Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Juan C. Cuevas-Tello"'
Autor:
Ryan Baker del Aguila, Carlos Daniel Contreras Pérez, Alejandra Guadalupe Silva-Trujillo, Juan C. Cuevas-Tello, Jose Nunez-Varela
Publikováno v:
Computers, Vol 13, Iss 3, p 59 (2024)
Recent advancements in cybersecurity threats and malware have brought into question the safety of modern software and computer systems. As a direct result of this, artificial intelligence-based solutions have been on the rise. The goal of this paper
Externí odkaz:
https://doaj.org/article/42323baf1eb24e049fa40b9536241406
Publikováno v:
Diagnostics, Vol 13, Iss 17, p 2858 (2023)
X-ray diagnostics are widely used to detect various diseases, such as bone fracture, pneumonia, or intracranial hemorrhage. This method is simple and accessible in most hospitals, but requires an expert who is sometimes unavailable. Today, some diagn
Externí odkaz:
https://doaj.org/article/2d2641e27255439ba075a6d162922381
Autor:
Jose S. Altamirano-Flores, Sandra E. Guerra-Palomares, Pedro G. Hernandez-Sanchez, Jose L. Ramirez-Garcialuna, J. Rafael Arguello-Astorga, Daniel E. Noyola, Juan C. Cuevas-Tello, Christian A. Garcia-Sepulveda
Publikováno v:
IEEE Access, Vol 8, Pp 87214-87227 (2020)
The Human Immunodeficiency Virus (HIV) Viral Infectivity Factor (Vif) is a 192-amino acid accessory protein essential to viral replication which counteracts host APOBEC3 proteins. APOBEC3 proteins interfere with the replication of HIV, hepatitis C vi
Externí odkaz:
https://doaj.org/article/390aa82abb7240aa932434922059ac78
Autor:
Carlos Soubervielle-Montalvo, Oscar E. Perez-Cham, Cesar Puente, Emilio J. Gonzalez-Galvan, Gustavo Olague, Carlos A. Aguirre-Salado, Juan C. Cuevas-Tello, Luis J. Ontanon-Garcia
Publikováno v:
Sensors, Vol 22, Iss 3, p 1280 (2022)
Video tracking involves detecting previously designated objects of interest within a sequence of image frames. It can be applied in robotics, unmanned vehicles, and automation, among other fields of interest. Video tracking is still regarded as an op
Externí odkaz:
https://doaj.org/article/e5da5450d2154de9a2757d5a97c6211e
Autor:
Francisco E. Martínez-Pérez, Marcela D. Rodríguez, Juan C. Cuevas-Tello, Jose Ángel González-Fraga
Publikováno v:
Sensors, Vol 12, Iss 1, Pp 1072-1099 (2012)
Human activity inference is not a simple process due to distinct ways of performing it. Our proposal presents the SCAN framework for activity inference. SCAN is divided into three modules: (1) artifact recognition, (2) activity inference, and (3) act
Externí odkaz:
https://doaj.org/article/7ac15988edb44cc6b746676c49b8a3ca
Autor:
Jesus Gerardo Torres-Vega, Juan C. Cuevas-Tello, Cesar Puente, Jose Nunez-Varela, Carlos Soubervielle-Montalvo
Publikováno v:
Intelligent Sustainable Systems ISBN: 9789811976599
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e30eec88272f11353e8e76c0ba261ea
https://doi.org/10.1007/978-981-19-7660-5_22
https://doi.org/10.1007/978-981-19-7660-5_22
Autor:
Mario Gonzalez-Garcia, Yuniel Leon-Ruiz, Juan C. Cuevas-Tello, Ricardo Alvarez-Salas, Victor Cardenas
Publikováno v:
IEEE Access, Vol 9, Pp 151209-151220 (2021)
The objective of this work is to select a Machine Learning Technique (MLT) to develop a fault diagnosis scheme for the power switching devices of the High Frequency link (HF link) in a grid-tied Photovoltaic (PV) system, without increasing the total
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9af383e1bf5a4c77a4ba58f41eb434b
https://doi.org/10.1109/access.2021.3126706
https://doi.org/10.1109/access.2021.3126706
Autor:
Juan C. Cuevas-Tello, Jose R. Martínez-Garcia, Francisco Edgar Castillo-Barrera, Ramon R. Palacio, Gilberto Borrego
Publikováno v:
IET Software. 14:234-241
Software Development is a complex process, in which every software product is a knowledge representation of all the involved people. In agile software development, knowledge is prone to vaporise, because documentation is not a priority as indicated i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::753990b4ec0d3269880635b02c384df1
https://doi.org/10.1049/iet-sen.2019.0272
https://doi.org/10.1049/iet-sen.2019.0272
Autor:
Cesar Puente, Gustavo Olague, Oscar Ernesto Pérez Cham, Emilio J. Gonzalez-Galvan, Luis Javier Ontañón García Pimentel, Juan C. Cuevas-Tello, Carlos Soubervielle-Montalvo, Carlos Arturo Aguirre-Salado
Publikováno v:
Sensors; Volume 22; Issue 3; Pages: 1280
Sensors, Vol 22, Iss 1280, p 1280 (2022)
Sensors, Vol 22, Iss 1280, p 1280 (2022)
Video tracking involves detecting previously designated objects of interest within a sequence of image frames. It can be applied in robotics, unmanned vehicles, and automation, among other fields of interest. Video tracking is still regarded as an op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec06e534ddee4feb9854447efb45abc2
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030490751
MCPR
MCPR
Convolutional Neural Networks (CNN) has gained much attention for the solution of numerous vision problems including disparities calculation in stereo vision systems. In this paper, we present a CNN based solution for disparities estimation that buil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5efa5cccad7ed00e0b5ba5522f9d4792
https://doi.org/10.1007/978-3-030-49076-8_21
https://doi.org/10.1007/978-3-030-49076-8_21