Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Ivan Olmos-Pineda"'
A Smart Factory Architecture Based on Industry 4.0 Technologies: Open-Source Software Implementation
Autor:
Jesus Anselmo Fortoul-Diaz, Luis Antonio Carrillo-Martinez, Adolfo Centeno-Tellez, Froylan Cortes-Santacruz, Ivan Olmos-Pineda, Roberto Rafael Flores-Quintero
Publikováno v:
IEEE Access, Vol 11, Pp 101727-101749 (2023)
The Smart Factory has been a concept studied during the last decade that has not been standardized yet; for this reason, the academy and industry have developed a wide variety of new architectures that describe the integration of elements for digitiz
Externí odkaz:
https://doaj.org/article/8be3177b154b4582aed0e1235a49cb7a
Publikováno v:
Revista Colombiana de Computación, Vol 22, Iss 2 (2021)
En los últimos años, la autenticación de personas ha tomado un gran auge debido a los avances tecnológicos e investigaciones que se han desarrollado alrededor del tema. En este proceso se usan técnicas de visión por computadora que permiten pro
Externí odkaz:
https://doaj.org/article/694d22234ea64d589ac46d806c45c3c2
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 42:4685-4697
A current challenge for autonomous vehicles is the detection of irregularities on road surfaces in order to prevent accidents; in particular, speed bump detection is an important task for safe and comfortable autonomous navigation. There are some tec
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 42:4673-4684
The cornerstone to achieve the development of autonomous ground driving with the lowest possible risk of collision in real traffic environments is the movement estimation obstacle. Predicting trajectories of multiple obstacles in dynamic traffic scen
Publikováno v:
Pattern Recognition Letters. 135:72-81
Breast thermography images are a new type of data that has been analyzed in recent years in order to detect abnormalities, which can lead to a future breast cancer. This paper proposes a methodology for breast thermal image classification, which is u
Publikováno v:
Pattern Recognition Letters. 133:202-209
Identification of EEG signals is currently an open problem where performance analysis in terms of accuracy is relevant in several fields, such as biomedicine and brain computer interfaces. Nevertheless, performance depends on the feature extraction p
Publikováno v:
Research in Computing Science. 148:71-82
Publikováno v:
Research in Computing Science. 148:57-70
Publikováno v:
Research in Computing Science. 148:245-256
Autor:
Susana Sánchez-Urrieta, Ivan Olmos-Pineda, J. Arturo Olvera-López, Manuel Martín-Ortíz, Ricardo Ramos-Aguilar
Publikováno v:
Research in Computing Science. 148:83-96