Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Carlos Avilés Cruz"'
Publikováno v:
Sensors, Vol 24, Iss 7, p 2319 (2024)
Pressure fluctuations in a mixing tank can provide valuable information about the existing flow regime within the tank, which in turn influences the degree of mixing that can be achieved. In the present work, we propose a prototype for identifying th
Externí odkaz:
https://doaj.org/article/ba9b96a7d4bf4bd7ae71fcaa6662f162
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2018 (2018)
The technology of power electronic systems has diversified into industrial, commercial, and residential areas. Developing a strategy to improve the performance of the electrical energy of an electric vehicle (EV) requires an analysis of the model tha
Externí odkaz:
https://doaj.org/article/222f2dd06fd64c079f22da689cac9098
Publikováno v:
Sensors, Vol 19, Iss 7, p 1556 (2019)
In the last decade, deep learning techniques have further improved human activity recognition (HAR) performance on several benchmark datasets. This paper presents a novel framework to classify and analyze human activities. A new convolutional neural
Externí odkaz:
https://doaj.org/article/5863843b7f1f432998a4037117d594b2
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 11, Iss 4, Pp 1-6 (2013)
This paper provides a novel algorithm to attain the independent navigation of a colonoscopy surgical endoscope. First, it introduces a brief description of this issue through the scientist advance for medical robotics. It then makes a quickly count o
Externí odkaz:
https://doaj.org/article/6a7d3a7e53464c88bb40ede9acd6864f
Publikováno v:
Computer Applications in Engineering Education. 28:1045-1057
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c8742c8fccf3a14426f0b3f58410eac
https://doi.org/10.1002/cae.22277
https://doi.org/10.1002/cae.22277
Autor:
Arturo Zúñiga-López, Román Anselmo Mora Gutiérrez, Carlos Avilés-Cruz, César Benavides-Álvarez, Gabriel de Jesús Celis-Escudero, Juan Villegas-Cortez, Andrés Ferreyra-Ramírez
Publikováno v:
Research in Computing Science. 148:79-90
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4df140de5d61ee68b2e130953ed5d5be
https://doi.org/10.13053/rcs-148-7-6
https://doi.org/10.13053/rcs-148-7-6
Publikováno v:
Research in Computing Science. 148:391-404
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ca32d2da0257c56f993b63c19358d0c
https://doi.org/10.13053/rcs-148-7-29
https://doi.org/10.13053/rcs-148-7-29
Autor:
Eduardo Rodriguez-Martinez, César Benavides-Álvarez, Andrés Ferreyra-Ramírez, Carlos Avilés-Cruz, Arturo Zúñiga-López
Publikováno v:
Applied Sciences
Volume 11
Issue 19
Applied Sciences, Vol 11, Iss 8795, p 8795 (2021)
Volume 11
Issue 19
Applied Sciences, Vol 11, Iss 8795, p 8795 (2021)
One of the most important applications of data science and data mining is is organizing, classifying, and retrieving digital images on Internet. The current focus of the researchers is to develop methods for the content based exploration of natural s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acd5dc8a36cddabff32475f1011eba95
Autor:
Eduardo Rodriguez-Martinez, Andrés Ferreyra-Ramírez, Juan Villegas-Cortez, Carlos Avilés-Cruz
Publikováno v:
Pattern Recognition Letters. 125:576-583
In this research paper, a novel framework is proposed to classify and analyze human activities. Granger-causality is applied on a smartphone for the recognition of single user activity. It is done in two different ways. In the first one, human activi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::866708e240c807b54b399ef0bda1bce4
https://doi.org/10.1016/j.patrec.2019.06.029
https://doi.org/10.1016/j.patrec.2019.06.029
A smartphone‐based augmented reality system for university students for learning digital electronics
Publikováno v:
Computer Applications in Engineering Education. 27:615-630
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29ba2416110018ea51a260852cf13d1c
https://doi.org/10.1002/cae.22102
https://doi.org/10.1002/cae.22102