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pro vyhledávání: '"Raymond, David"'
Autor:
Dils, Alex, Raymond, David, Spottiswood, Jack, Kodige, Samay, Karmin, Dylan, Kokal, Rikhil, Cowger, Win, Sadée, Chris
Current methods for microplastic identification in water samples are costly and require expert analysis. Here, we propose a deep learning segmentation model to automatically identify microplastics in microscopic images. We labeled images of microplas
Externí odkaz:
http://arxiv.org/abs/2410.19604
Autor:
Veettil, Bijeesh Kozhikkodan, Puri, Vikram, Wickramasinghe, Deepthi, Ward, Raymond David, Stankovic, Milica, Udagedara, Susantha, Madawala, Yasasvi
Publikováno v:
In Estuarine, Coastal and Shelf Science 15 October 2024 306
Autor:
Raymond, David Richard
As wireless sensor platforms become less expensive and more powerful, the promise of their wide-spread use for everything from health monitoring to military sensing continues to increase. Like other networks, sensor networks are vulnerable to malicio
Externí odkaz:
http://hdl.handle.net/10919/26629
http://scholar.lib.vt.edu/theses/available/etd-04042008-152245/
http://scholar.lib.vt.edu/theses/available/etd-04042008-152245/
Publikováno v:
In Forensic Science International: Digital Investigation September 2023 46
Autor:
RAYMOND, DAVID B.
Publikováno v:
The Concord Saunterer, 2020 Jan 01. 28, 130-152.
Externí odkaz:
https://www.jstor.org/stable/48616952
Autor:
Raymond, David J.
Thesis (Ph. D.)--Florida State University, 2010.
Advisor: Jonathan Grant, Florida State University, College of Arts and Sciences, Dept. of History. Title and description from dissertation home page (viewed on July 26, 2010). Includes bibliograph
Advisor: Jonathan Grant, Florida State University, College of Arts and Sciences, Dept. of History. Title and description from dissertation home page (viewed on July 26, 2010). Includes bibliograph
Externí odkaz:
http://etd.lib.fsu.edu/theses/available/etd-04122010-131825/
Autor:
Raymond, David Colin
« Ce travail propose des solutions pour améliorer les environnements collaboratifs synchrones dans le cadre d'un apprentissage à distance. A travers des expériences d'activités collaboratives synchrones, un modèle a été définit pour représe
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00088723
http://tel.archives-ouvertes.fr/docs/00/08/87/23/PDF/thesis-Raymond.pdf
http://tel.archives-ouvertes.fr/docs/00/08/87/23/PDF/thesis-Raymond.pdf
RECOMMENDATIONS FOR IN SITU AND REMOTE SENSING CAPABILITIES IN ATMOSPHERIC CONVECTION AND TURBULENCE
Autor:
Geerts, Bart, Raymond, David J., Grubišić, Vanda, Davis, Christopher A., Barth, Mary C., Detwiler, Andrew, Klein, Petra M., Lee, Wen-Chau, Markowski, Paul M., Mullendore, Gretchen L., Moore, James A.
Publikováno v:
Bulletin of the American Meteorological Society, 2018 Dec 01. 99(12), 2463-2470.
Externí odkaz:
https://www.jstor.org/stable/26639236
Akademický článek
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