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pro vyhledávání: '"Luis F. Alves Pereira"'
Autor:
Van Nguyen, Luis F. Alves Pereira, Zhihua Liang, Falk Mielke, Jeroen Van Houtte, Jan Sijbers, Jan De Beenhouwer
Publikováno v:
Frontiers in Veterinary Science, Vol 9 (2022)
The 3D musculoskeletal motion of animals is of interest for various biological studies and can be derived from X-ray fluoroscopy acquisitions by means of image matching or manual landmark annotation and mapping. While the image matching method requir
Externí odkaz:
https://doaj.org/article/716f03ceb1f14e1bb41676bc3f3f6b61
Publikováno v:
Nondestructive testing and evaluation
Radiography is a common imaging method for non-destructive object inspection. Processing radiographs to detect defects is, however, challenging, especially if the defect type and location are unknown. In other fields, autoencoders (AE) have been larg
Publikováno v:
Anais do XLIX Seminário Integrado de Software e Hardware (SEMISH 2022).
For many years, methods for detecting violence in video data used features designed by humans to extract visual information from input frames for composing feature vectors and then applied machine learning techniques to assign labels to them. Recentl
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Autor:
Mateus Baltazar de Almeida, Luis F. Alves Pereira, Tsang Ing Ren, George D. C. Cavalcanti, Jan Sijbers
Publikováno v:
Proceedings
The ionizing radiation that propagates through the human body at Computed Tomography (CT) exams is known to be carcinogenic. For this reason, the development of methods for image reconstruction that operate with reduced radiation doses is essential.
Autor:
Luis F. Alves Pereira, Rodrigo G. C. Rocha, Fred Freitas, José Antônio Alvez de Menezes, Ryan Ribeiro de Azevedo
Publikováno v:
Computational Science and Its Applications – ICCSA 2014 ISBN: 9783319091525
ICCSA (6)
ICCSA (6)
In this paper, we present an approach based on Ontology Learning and Natural Language Processing for automatic construction of expressive Ontologies, specifically in OWL DL with ALC expressivity, from a natural language text. The viability of our app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::618957dae61f573891a79a48f838e0e6
https://doi.org/10.1007/978-3-319-09153-2_55
https://doi.org/10.1007/978-3-319-09153-2_55