Zobrazeno 1 - 10
of 420
pro vyhledávání: '"data enrichment"'
Autor:
Khanh Dang, Igor A. Bessmertny
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 5, Pp 779-787 (2024)
The main problem in building intelligent systems is the lack of data for machine learning, which is especially important for sign language recognition for the deaf and hard of hearing. One of the ways to increase the amount of data for training is
Externí odkaz:
https://doaj.org/article/db0e30a512824f04a4cd8ea58de57ccf
Autor:
Coşkun, Aysu, Bilicz, Sándor
Publikováno v:
COMPEL -The international journal for computation and mathematics in electrical and electronic engineering, 2024, Vol. 43, Issue 3, pp. 507-518.
Autor:
Rik D.T. Janssen
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101736- (2024)
Ricgraph, also known as Research in context graph, enables the exploration of researchers, teams, their results, collaborations, skills, projects, and the relations between these items.Ricgraph can store many types of items into a single graph. These
Externí odkaz:
https://doaj.org/article/c45fae73759b4666b2336d82faf698b9
Autor:
Theresa Boiger, Gerald Schweiger
Publikováno v:
International Journal of Sustainable Energy, Vol 42, Iss 1, Pp 1028-1041 (2023)
Energy simulation models are crucial to estimate the energy demand of buildings, especially for prospective planning on a district or city scale. As required input data is not available in many cases, an automated model generation workflow is needed.
Externí odkaz:
https://doaj.org/article/ce914293e9f1443989b6e62ed961e523
Publikováno v:
Sensors, Vol 24, Iss 15, p 5009 (2024)
Rare events are occurrences that take place with a significantly lower frequency than more common, regular events. These events can be categorized into distinct categories, from frequently rare to extremely rare, based on factors like the distributio
Externí odkaz:
https://doaj.org/article/34c03704b09d432eb814af10a0fbc8a9
Autor:
Kaczmarek Iwona
Publikováno v:
Open Geosciences, Vol 15, Iss 1, Pp 104111-53 (2023)
This article explores how natural language processing techniques can be applied to extract information from spatial planning documents and how this information can be represented in a knowledge graph. The proposed method uses named entity recognition
Externí odkaz:
https://doaj.org/article/c78fd88dd71b4c7598f61cb2f84cee71
Autor:
Luis Sanchez, Jorge Lanza, Juan Ramon Santana, Pablo Sotres, Victor Gonzalez, Laura Martin, Gurkan Solmaz, Erno Kovacs, Maren Dietzel, Anja Summa, Amir Reza Jafari, Roberto Minerva, Noel Crespi
Publikováno v:
IEEE Access, Vol 11, Pp 103079-103091 (2023)
Proliferation of data sources associated to Internet of Things (IoT) deployment as well as those bound to Open Data Portals (e.g. European Data Portal, Municipalities Open Data Portals, etc.) and Social Media platforms is creating an abundance of inf
Externí odkaz:
https://doaj.org/article/1692453131c645b3b1ed669909b851d1
Akademický článek
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Publikováno v:
Sensors, Vol 24, Iss 6, p 1858 (2024)
The vast amount of information stemming from the deployment of the Internet of Things and open data portals is poised to provide significant benefits for both the private and public sectors, such as the development of value-added services or an incre
Externí odkaz:
https://doaj.org/article/fab99bd774064a7488e9e2bcdc3e18fe
Akademický článek
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