Zobrazeno 1 - 10
of 262
pro vyhledávání: '"R Stemmer"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 793-800 (2021)
In intelligent transportation systems (ITS), it is essential to obtain reliable statistics of the vehicular flow in order to create urban traffic management strategies. These systems have benefited from the increase in computational resources and the
Externí odkaz:
https://doaj.org/article/11fe6d3f701342b88d39bc571591e9d2
Autor:
Y. M. Valencia, J. J. Majin, V. B. Taveira, J. D. Salazar, M. E. Stivanello, L. C. Ferreira, M. R. Stemmer
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 809-816 (2021)
The objective of this work is to compare the use of classical image processing approaches with deep learning approaches in a visual inspection system for defects in commercial eggs. Currently, many industries perform the detection of defects in eggs
Externí odkaz:
https://doaj.org/article/75f70b55ce1e4500b348d23567be2038
Autor:
J. D. Salazar, P. Buschinelli, G. Marcellino, M. Machado, H. Rodrigues, D. Regner, D. Oliveira, J. M. Santos, C. A. Marinho, M. R. Stemmer, T. C. Pinto
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 1265-1272 (2020)
The purpose of this paper is to show how deep learning techniques, based on CNNs, can contribute to photogrammetry process to perform geometric inspections of risers on offshore platforms. The photogrammetry process has a problematic related to the r
Externí odkaz:
https://doaj.org/article/acdbfdc18c734bfd9715f034b7456d09
Autor:
P. Buschinelli, J. D. Salazar, D. Regner, D. Oliveira, M. Machado, G. Marcellino, D. C. Sales, J. M. Santos, C. A. Marinho, M. R. Stemmer, T. C. Pinto
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2020, Pp 285-291 (2020)
The oil and gas offshore industry demands regular inspections of components and structures that are subjected to extreme operational and environmental conditions. In this context, risers are pipelines that transport mainly oil, gas, water, and cables
Externí odkaz:
https://doaj.org/article/00eb60a57baa41bb91bfd06c0bac5ce8
Autor:
Yavi R., Stemmer A.
Publikováno v:
Actas Iberoamericanas de Conservación Animal, Vol 2, Pp 303-305 (2012)
Externí odkaz:
https://doaj.org/article/b9d1fd83d65b4add8f6dab874ef502a6
Akademický článek
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Publikováno v:
Das Gesundheitswesen.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d55cb4208a3b9eb396eaf8bbdb29e28
https://doi.org/10.1055/s-0038-1667799
https://doi.org/10.1055/s-0038-1667799
Autor:
R. Stemmer
The project focuses on the effect of everyday practical and cognitive activation at home on the activities of daily living and cognitive abilities of dementia sufferers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82d95f9c4836a9ab7844b7e4c540add3
https://europepmc.org/articles/PMC6183440/
https://europepmc.org/articles/PMC6183440/
Publikováno v:
Anais do 1. Congresso Brasileiro de Redes Neurais.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17f05033397eea3c709905b371b0456f
https://doi.org/10.21528/cbrn1994-034
https://doi.org/10.21528/cbrn1994-034
Autor:
C. Ohmann, Gisela Nellessen-Martens, Matthias Schrappe, H-K Selbmann, R. Stemmer, H. Abholz, Vorstand des Deutschen Netzwerkes Versorgungsforschung, Edmund Neugebauer, M. Klinkhammer-Schalke, Gerd Glaeske, Andrea Icks, Holger Pfaff
Publikováno v:
DMW - Deutsche Medizinische Wochenschrift. 136:2496-2500
Versorgungsforschung untersucht das Versorgungsgeschehen und damit die im Versorgungsalltag erbrachten Versorgungsleistungen. Versorgungsleistungen sind das Ergebnis aus erbrachter Gesundheitsleistung (z.B. Behandlung) und Kontextleistung (Gestaltung
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73f54b9daf4a71d27b6516b76b330591
https://doi.org/10.1055/s-0031-1272579
https://doi.org/10.1055/s-0031-1272579