Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Miguel Angel Anton"'
Publikováno v:
Sensors, Vol 24, Iss 22, p 7256 (2024)
Due to the limitations that falls have on humans, early detection of these becomes essential to avoid further damage. In many applications, various technologies are used to acquire accurate information from individuals such as wearable sensors, envir
Externí odkaz:
https://doaj.org/article/affc58c0b67e426697e64fa2e682b798
Publikováno v:
IEEE Access, Vol 10, Pp 45471-45484 (2022)
Anticipating pedestrians’ activity is a necessary task for providing a safe and energy efficient environment in an urban area. By locating strategically sensors throughout the city useful information could be obtained. By knowing the average activi
Externí odkaz:
https://doaj.org/article/390f46feb36e4d9097fcd0bc24cd4deb
Publikováno v:
Sensors, Vol 23, Iss 5, p 2718 (2023)
Application of deep neural networks (DNN) in edge computing has emerged as a consequence of the need of real time and distributed response of different devices in a large number of scenarios. To this end, shredding these original structures is urgent
Externí odkaz:
https://doaj.org/article/fd04a5c54cd2451bb75067c64319973c
Application of Deep Neural Networks (DNN) in Edge Computing has emerged as a consequence of the need of real time and distributed response of different devices in a large number of scenarios. For this end, shredding these original structures is urgen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f60e0ad3bcdb508e9ac57c7a0b4d0dc
https://doi.org/10.21203/rs.3.rs-1862445/v1
https://doi.org/10.21203/rs.3.rs-1862445/v1
Publikováno v:
Sensors
Volume 23
Issue 5
Pages: 2718
Volume 23
Issue 5
Pages: 2718
Application of deep neural networks (DNN) in edge computing has emerged as a consequence of the need of real time and distributed response of different devices in a large number of scenarios. To this end, shredding these original structures is urgent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::515d01522970cd7eb0d41a551bc2a917
https://doi.org/10.3390/s23052718
https://doi.org/10.3390/s23052718
Autor:
Unai Saralegui, JAVIER FRANCISCO MUGUERZA RIVERO, Olatz Arbelaitz, Richard Josephberg, Dr. Miguel Angel Anton
Publikováno v:
TECNALIA Publications
Fundación Tecnalia Research & Innovation
Addi. Archivo Digital para la Docencia y la Investigación
instname
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 2
Sensors, Vol 19, Iss 2, p 353 (2019)
Fundación Tecnalia Research & Innovation
Addi. Archivo Digital para la Docencia y la Investigación
instname
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 2
Sensors, Vol 19, Iss 2, p 353 (2019)
The monitoring of small houses and rooms has become possible due to the advances in IoT sensors, actuators and low power communication protocols in the last few years. As buildings are one of the biggest energy consuming entities, monitoring them has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ef7222215e80913250ed58d4c481afb
http://hdl.handle.net/10810/32222
http://hdl.handle.net/10810/32222
Autor:
Mercedes Linares Gómez del Pulgar, Marina López Sánchez, Cristina Vicente Gilabert, Miguel Ángel Antonio-García, Francisco Sánchez-Salazar, Antonio Tejedor Cabrera
Publikováno v:
Land, Vol 13, Iss 5, p 574 (2024)
Sustainable and balanced territory development involves management and planning based on the cultural and natural values that characterise it. In contrast to solutions based exclusively on quantitative growth, today, we defend qualitative territorial
Externí odkaz:
https://doaj.org/article/9f86640f7a434bd1ba87bd1612b339e4
Autor:
Pedro Carmona-Saez, Svetlana Surkova, Konstantinos Petritis, Grigory Stein, Angel Rubio, Dr. Miguel Angel Anton, Victor Segura, Ruben Pio
Publikováno v:
Bioinformatics: The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f86b5e6c624652ca224c90294a68cfa
https://doi.org/10.1201/b16589
https://doi.org/10.1201/b16589
Publikováno v:
Computation, Vol 10, Iss 9, p 161 (2022)
Much effort has been devoted to transferring efficiently different machine-learning algorithms, and especially deep neural networks, to edge devices in order to fulfill, among others, real-time, storage and energy-consumption issues. The limited reso
Externí odkaz:
https://doaj.org/article/d75bc4d6200e4e5c901183307105c3ba
Publikováno v:
Sensors, Vol 21, Iss 4, p 1031 (2021)
Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the digitalisation of society in g
Externí odkaz:
https://doaj.org/article/30c6c47229be4965999ca85153ac3226