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Listar Ingeniería de Comunicaciones - (IC) por autor "Nava-Baro, Enrique"
Mostrando ítems 1-9 de 9
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A Machine Learning Based Full Duplex System Supporting Multiple Sign Languages for the Deaf and Mute
Imran Saleem, Muhammad; Siddiqui, Atif Ahmed; Noor, Shaheena; Luque-Nieto, Miguel Ángel; Nava-Baro, Enrique
(MDPI, 2023-02-28)
This manuscript presents a full duplex communication system for the Deaf and Mute (D-M) based on Machine Learning (ML). These individuals, who generally communicate through sign language, are an integral part of our society, ... -
Analisis temporal de los resultados de la calibración de ecosondas científicas en buques de investigación.
Córdoba Selles, Pilar; Nava-Baro, Enrique; Iglesias Marroig, Magdalena; Ventero Martín, Ana (2018-11-05)
El Instituto Español de Oceanografía (IEO), en sus campañas de Evaluación Acústica de Recursos Pesqueros, utiliza ecosondas científicas para estimar la biomasa de las especies pelágicas de interés comercial, como ... -
Calibración de los parámetros del modelo de directividad de los transductores de la Ecosonda Simrad EK60
Córdoba Selles, Pilar; Iglesias Marroig, Magdalena; Nava-Baro, Enrique; Miquel Batle, Joan; Clemente-Medina, María del Carmen
(2015-11-18)
La ecosonda científica Simrad EK60 se utiliza para cuantificar los recursos pesqueros en campañas de investigación oceanográfica, utilizando diferentes canales de frecuencias (de 18KHz a 200KHz) mediante transductores ... -
Design and development of a wayside aI-assisted vision system for online train wheel inspection
Zakir Shaikh, Muhammad; Mehran, Sanaullah; Nava-Baro, Enrique; Manolova, Agata; Aslam Uqaili, Mohammad; Hussain, Tanweer; Shankar Chowdhry, Bhawani[et al.] (Wiley, 2024)
Wayside inspection of rolling stock has been around for some time and wheel impact load and fiber-grating sensors are actively explored for getting high-fidelity data. Visual inspection from wayside provides the opportunity ... -
First steps towards developing an open access software designed for the recognition of daily microstructures used in ageing fish
Nava-Baro, Enrique; Rey, Javier; García, Alberto; Otero-Roth, Pablo
; Piñeiro, Carmen; Clemente-Medina, María del Carmen
[et al.] (2014-07-29)
Ageing methods for most of the exploited fish species are not validated, and consequently age data series often have important gaps and uncertainty manifesting its consequences on age-based fisheries assessment. Amongst ... -
Long-term calibration analysis of scientific echosounders used in research vessels
Córdoba Selles, Pilar; Iglesias Marroig, Magdalena; Ventero Martín, Ana; Nava-Baro, Enrique(2019-07-31)
The use of scientific multifrequency echosounders like SIMRAD EK60 in resource-assessment surveys of small pelagic fish like sardine or anchovy, has been employed by the Spanish Institute of Oceanography (IEO) for more ... -
Nephrops norvegicus burrows detection and classification from underwater videos using Deep Learning techniques.
Naseer, Atif (UMA Editorial, 2024)Problems faced by marine scientists during the assessment of Nephrops norvegicus species during underwater TV surveys have been addressed in this thesis. One of the main contributions of the work has been the study of the ... -
New open access software designed for the recognition of daily microstructures used in ageing fish
Nava-Baro, Enrique; Rey, Javier; Clemente-Medina, María del Carmen
; García, Alberto; Otero-Roth, Pablo
; Piñeiro, Carmen Gloria[et al.] (2014-10-28)
Ageing methods for most of the exploited fish species are not validated, and consequently age data series often have important gaps and uncertainty manifesting its consequences on age-based fisheries assessment. In ... -
X-Ray Image-Based Real-Time COVID-19 Diagnosis Using Deep Neural Networks (CXR-DNNs).
Khan, Ali Yousuf; Luque-Nieto, Miguel Ángel; Saleem, Muhammad Imran; Nava-Baro, Enrique
(MDPI, 2024-12-19)
On 11 February 2020, the prevalent outbreak of COVID-19, a coronavirus illness, was declared a global pandemic. Since then, nearly seven million people have died and over 765 million confirmed cases of COVID-19 have been ...