Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Enrique de la Cal"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 877-897 (2024)
This research investigates the application of deep learning in sentiment analysis of Canadian maritime case law. It offers a framework for improving maritime law and legal analytic policy-making procedures. The automation of legal document extraction
Externí odkaz:
https://doaj.org/article/52ef47deab3f4b1588fa1cc3bda999e1
Publikováno v:
Sensors, Vol 18, Iss 5, p 1350 (2018)
Fall detection is a very important challenge that affects both elderly people and the carers. Improvements in fall detection would reduce the aid response time. This research focuses on a method for fall detection with a sensor placed on the wrist. F
Externí odkaz:
https://doaj.org/article/6c7e76f43ae94cbb96699731fa4e3471
Publikováno v:
Neurocomputing. 457:182-192
Technologies such as Big Data and IoT have shown the need for intelligent unsupervised processing of Multivariate Time Series (MTS), MTS clustering among them. The challenges in MTS clustering includes not only the selection of the algorithm but also
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031180491
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81592ff1f50d9779296d0d2ba0aa85fe
https://doi.org/10.1007/978-3-031-18050-7_62
https://doi.org/10.1007/978-3-031-18050-7_62
Publikováno v:
Neurocomputing. 502:159-160
Publikováno v:
WOS:000719656700009
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) ISBN: 9783030878689
SOCO
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) ISBN: 9783030878689
SOCO
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (16th. 2021. Bilbao)
This research has been funded by the Spanish Ministry of Science and Innovation under project MINECO-TIN2017-84804-R,
This research has been funded by the Spanish Ministry of Science and Innovation under project MINECO-TIN2017-84804-R,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1043dcb4d8e0888b398a7be8d24e6b32
http://hdl.handle.net/10651/62240
http://hdl.handle.net/10651/62240
Publikováno v:
Scopus
Spanish Ministry of Science and Innovation [MINECO-TIN2017-84804-R, PID2020-112726RB-I00]; State Research Agency (AEI, Spain) [RED2018-102312-T]; Korean government (MSIT) (Yonsei University) [2020-0-01361]; AI Graduate School Program (Yonsei Universi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50c0eb395172ab1578fa0d4d0ce37cd6
http://hdl.handle.net/10651/66152
http://hdl.handle.net/10651/66152
Autor:
Emilio Corchado, Héctor Quintián, José Ramón Villar Flecha, Francisco Javier de Cos Juez, Enrique de la Cal
Publikováno v:
Logic Journal of the IGPL. 29:121-123
Publikováno v:
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) ISBN: 9783030878689
SOCO
SOCO
Affective computing comprises the techniques devoted to identify and understand human emotions. However, this topic covers many other subtopics; it can be remarked Speech Emotion Recognition (SER) between them. In the last two decades, we have witnes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c52ce8a4428524a5674cfa81f105a99
https://doi.org/10.1007/978-3-030-87869-6_29
https://doi.org/10.1007/978-3-030-87869-6_29
Publikováno v:
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Introducing intelligent safety devices in the roads would lead to enhance both the time of reaction and the traffic safety. Nevertheless, these intelligent devices are expensive, so choosing their location should be done carefully. This research is f