Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Christian Pieringer"'
Autor:
Matías Aguilera, Eduardo Tobar-Calfucoy, Victoria Rojas-Martínez, Rodrigo Norambuena, María Jesús Serrano, Onix Cifuentes, María Sofía Zamudio, Daniel San Martín, Pabla Lara, Andrea Sabag, Marcela Zabner, Daniel Tichy, Pamela Camejo, Luis León, Michael Pino, Soledad Ulloa, Felipe Rojas, Christian Pieringer, Cecilia Muster, Daniel Castillo, Nicolás Ferreira, Camilo Avendaño, Mauro Canaval, Hans Pieringer, Pablo Cifuentes, Nicolás Cifuentes Muñoz
Publikováno v:
Poultry Science, Vol 102, Iss 12, Pp 103125- (2023)
ABSTRACT: Salmonella spp. is a prevalent pathogen that causes great public health concern worldwide. Bacteriophage-based cocktails have arisen as an alternative to antibiotics to inhibit the growth of Salmonella. However, the bactericidal effect of b
Externí odkaz:
https://doaj.org/article/4c0ff8466c1d4e1e819af6b72f7e5ed9
Publikováno v:
Policing and Society. 31:1036-1050
Police agencies expend considerable effort to anticipate future incidences of criminal behaviour. Since a large proportion of crimes are committed by a small group of individuals, preventive measur...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50f49dc44e5989b2d009fefe5ab4fe4e
https://doi.org/10.1080/10439463.2020.1779270
https://doi.org/10.1080/10439463.2020.1779270
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 484:3071-3077
Within the last years, the classification of variable stars with Machine Learning has become a mainstream area of research. Recently, visualization of time series is attracting more attention in data science as a tool to visually help scientists to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::773df482db18cd4e119a7881966c1051
https://doi.org/10.1093/mnras/stz106
https://doi.org/10.1093/mnras/stz106
Publikováno v:
Computers & Geosciences. 122:25-34
Upwelling filaments are long ( ≈ 100's km) narrow (O ≈ 10 km) structures in the coastal ocean. They export nutrients and prevent the movement of larvae along the coast. Filaments can be observed in satellite images and in numerical models, but th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a11dfaae200bcf448d98fe4edfb4ad6a
https://doi.org/10.1016/j.cageo.2018.10.005
https://doi.org/10.1016/j.cageo.2018.10.005
Autor:
Domingo Mery, Christian Pieringer
Publikováno v:
Computer Vision for X-Ray Testing ISBN: 9783030567682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dd55c21aa3a6452ffe8f48cc370b626
https://doi.org/10.1007/978-3-030-56769-9_2
https://doi.org/10.1007/978-3-030-56769-9_2
Autor:
Domingo Mery, Christian Pieringer
Publikováno v:
Computer Vision for X-Ray Testing ISBN: 9783030567682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2464fc4d8482742bf0d9862f98510820
https://doi.org/10.1007/978-3-030-56769-9_5
https://doi.org/10.1007/978-3-030-56769-9_5
Autor:
Christian Pieringer, Domingo Mery
Publikováno v:
Computer Vision for X-Ray Testing ISBN: 9783030567682
Deep learning has been inspired by ideas from neuroscience. The key idea of deep learning is to replace handcrafted features (explained in details in Chap. 5) with features that are learned efficiently using a hierarchical feature extraction approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8336f11968c4a6f071d279814dbc3288
https://doi.org/10.1007/978-3-030-56769-9_7
https://doi.org/10.1007/978-3-030-56769-9_7
Autor:
Domingo Mery, Christian Pieringer
Publikováno v:
Computer Vision for X-Ray Testing ISBN: 9783030567682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1db9bdcdabc730982a3efe5242f73452
https://doi.org/10.1007/978-3-030-56769-9_6
https://doi.org/10.1007/978-3-030-56769-9_6
Autor:
Domingo Mery, Christian Pieringer
Publikováno v:
Computer Vision for X-Ray Testing ISBN: 9783030567682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::956bf325cc720a1d078f3f5856b41f3e
https://doi.org/10.1007/978-3-030-56769-9_3
https://doi.org/10.1007/978-3-030-56769-9_3