Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Erik Molino"'
Autor:
Edgar Ek-Chacón, Erik Molino-Minero-Re, Paul Erick Méndez-Monroy, Antonio Neme, Hector Ángeles-Hernández
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4175 (2024)
A lack of labeled examples is a problem in different domains, such as text and image processing, medicine, and static reservoir characterization, because supervised learning relies on vast volumes of these data to perform successfully, but this is qu
Externí odkaz:
https://doaj.org/article/7b1af22faec248eaa6677b4432d287b2
Publikováno v:
Sensors, Vol 22, Iss 11, p 4206 (2022)
Automatic identification of human facial expressions has many potential applications in today’s connected world, from mental health monitoring to feedback for onscreen content or shop windows and sign-language prosodic identification. In this work
Externí odkaz:
https://doaj.org/article/f09d64b60d76408eb734aa068f579307
Publikováno v:
Sensors, Vol 21, Iss 21, p 7007 (2021)
Multi-sensor fusion intends to boost the general reliability of a decision-making procedure or allow one sensor to compensate for others’ shortcomings. This field has been so prominent that authors have proposed many different fusion approaches, or
Externí odkaz:
https://doaj.org/article/cddfed978c2a4404aaeb353f60d9926c
Publikováno v:
Sensors, Vol 20, Iss 8, p 2350 (2020)
Multi-sensor fusion refers to methods used for combining information coming from several sensors (in some cases, different ones) with the aim to make one sensor compensate for the weaknesses of others or to improve the overall accuracy or the reliabi
Externí odkaz:
https://doaj.org/article/6703e2dcb45249028acf79893d8a1e5f
Publikováno v:
Sensors, Vol 19, Iss 17, p 3808 (2019)
In Ambient Intelligence (AmI), the activity a user is engaged in is an essential part of the context, so its recognition is of paramount importance for applications in areas like sports, medicine, personal safety, and so forth. The concurrent use of
Externí odkaz:
https://doaj.org/article/c49b89d1b36c4494957572d571348360
Publikováno v:
Sensors, Vol 19, Iss 9, p 2017 (2019)
Sensors are becoming more and more ubiquitous as their price and availability continue to improve, and as they are the source of information for many important tasks. However, the use of sensors has to deal with noise and failures. The lack of reliab
Externí odkaz:
https://doaj.org/article/c6eff80a321f48d09b5391e05e574c74
Autor:
Caridad Valés-Pinzón, Joel Humberto Sánchez-Paz, Jorge Luis Pérez-González, José Antonio Neme-Castillo, Erik Molino-Minero-Re, Rubén Medina-Esquivel, María Del Carmen Jorge, Nidiyare Hevia-Montiel, Francisco Heredia-López, Ana Paulina Haro-Álvarez, Rogelio Oscar Caballero-Pérez, Julián Bravo-Castillero
Publikováno v:
Journal of Applied Research and Technology. :154-161
We propose a methodology to narrow down the selection of design parameters of phantoms for calibrating ultrasound devices. For doing so, we model the phantoms as composite materials. Through a mathematical homogenization technique, the global propert
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 7007, p 7007 (2021)
Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 7007, p 7007 (2021)
Multi-sensor fusion intends to boost the general reliability of a decision-making procedure or allow one sensor to compensate for others’ shortcomings. This field has been so prominent that authors have proposed many different fusion approaches, or
Publikováno v:
Research in Computing Science. 147:319-333
Publikováno v:
Sensors
Volume 20
Issue 8
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 2350, p 2350 (2020)
Volume 20
Issue 8
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 2350, p 2350 (2020)
Multi-sensor fusion refers to methods used for combining information coming from several sensors (in some cases, different ones) with the aim to make one sensor compensate for the weaknesses of others or to improve the overall accuracy or the reliabi