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pro vyhledávání: '"Silva, André Luiz Buarque Vieira e"'
Autor:
Silva, André Luiz Buarque Vieira e, Simões, Francisco, Kowerko, Danny, Schlosser, Tobias, Battisti, Felipe, Teichrieb, Veronica
Within (semi-)automated visual industrial inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise small defect patterns in pixel size on high-resolution imagery. The emerg
Externí odkaz:
http://arxiv.org/abs/2311.02747
Autor:
Silva, André Luiz Buarque Vieira e, Felix, Heitor de Castro, Simões, Franscisco Paulo Magalhães, Teichrieb, Veronica, Santos, Michel Mozinho dos, Santiago, Hemir, Sgotti, Virginia, Neto, Henrique Lott
Power line maintenance and inspection are essential to avoid power supply interruptions, reducing its high social and financial impacts yearly. Automating power line visual inspections remains a relevant open problem for the industry due to the lack
Externí odkaz:
http://arxiv.org/abs/2311.01619
Publikováno v:
Repositório Institucional da UFPE
Universidade Federal de Pernambuco (UFPE)
instacron:UFPE
Universidade Federal de Pernambuco (UFPE)
instacron:UFPE
Fluid flow simulation is a high active area in Computer Graphics and Virtual Reality, with applications in a wide range of engineering problems. In this scenario, meshless methods like the Moving Particle Semi-implicit (MPS) are a great alternative t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::92cde6522aa5a3a03cc38332bb8d6e21
https://repositorio.ufpe.br/handle/123456789/32144
https://repositorio.ufpe.br/handle/123456789/32144