Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Claudio A. Delrieux"'
Autor:
Steven Martinez Vargas, Alejandro J. Vitale, Sibila A. Genchi, Simón F. Nogueira, Andrés H. Arias, Gerardo M.E. Perillo, Agustín Siben, Claudio A. Delrieux
Publikováno v:
HardwareX, Vol 16, Iss , Pp e00492- (2023)
Water monitoring faces challenges that are driven by the infrastructure, protection, financial resources, science and innovation policies, among others. A modular, low-cost, fully open-source and small-sized Unmanned Surface Vessel (USV) called EMAC-
Externí odkaz:
https://doaj.org/article/ff95656de7cf429fa353984307e4836e
Autor:
Natalia V. Revollo, G. Noelia Revollo Sarmiento, M. Andrea Huamantinco Cisneros, Claudio A. Delrieux, M. Cintia Piccolo
Publikováno v:
Anuário do Instituto de Geociências, Vol 42, Iss 3, Pp 27-41 (2019)
Vegetation has a substantial role as an indicator of anthropic effects, specifically in cases where urban planning is required. This is especially the case in the management of coastal cities, where vegetation exerts several effects that heighten t
Externí odkaz:
https://doaj.org/article/85945981cd9e4965b95351a0bafa9c67
Publikováno v:
IET Computer Vision, Vol 11, Iss 3, Pp 226-236 (2017)
Form and shape descriptors are among the most useful features for object identification and recognition. Even though there exists a widely used set of shape descriptors and underlying computational methods for their evaluation, frequently they fail t
Externí odkaz:
https://doaj.org/article/b4fda9875b624c419e697109d4aade1d
Autor:
Sibila A. Genchi, Alejandro J. Vitale, Gerardo M. E. Perillo, Carina Seitz, Claudio A. Delrieux
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1394 (2020)
Detailed knowledge of nearshore topography and bathymetry is required for a wide variety of purposes, including ecosystem protection, coastal management, and flood and erosion monitoring and research, among others. Both topography and bathymetry are
Externí odkaz:
https://doaj.org/article/05ff5b02cb584d7583ef7bedfe9a90a0
Publikováno v:
Sensors, Vol 15, Iss 2, Pp 3593-3609 (2015)
The aim of this work is to evaluate the applicability of the 3D model obtained through Structure-from-Motion (SFM) from unmanned aerial vehicle (UAV) imagery, in order to characterize bioerosion patterns (i.e., cavities for roosting and nesting) caus
Externí odkaz:
https://doaj.org/article/2de4f86217704541ae1a2f68ede12b6e
Autor:
Katy Lorena Blanco Monroy, Gisela Noelia Revollo Sarmiento, Natalia Revollo Sarmiento, Claudio Augusto Delrieux, Gerardo Miguel Eduardo Perillo
Publikováno v:
Anuário do Instituto de Geociências, Vol 40, Iss 3, Pp 202-211 (2017)
El método de extracción de la línea de agua es una de las herramientas más efectivas para el estudio de cambios en zonas de planicies de marea y líneas de costa. Entre otras aplicaciones, puede utilizarse para la elaboración de modelos digital
Externí odkaz:
https://doaj.org/article/6c784571aefc44b7949a96e0e172ae03
Autor:
Cristhian A. Yeguerman, Rodrigo I. Urrutia, Emiliano N. Jesser, Manlio Massiris, Claudio A. Delrieux, Ana P. Murray, Jorge O. Werdin González
Publikováno v:
Environmental Science and Pollution Research. 29:71412-71426
Autor:
Revollo Sarmiento G. Noelia, Carlos E. Berger, Juan M. Bajo, Sarmiento Natalia V. Revollo, Claudio A. Delrieux, Bruno A Pazos, Salomon Nelly, Maria E. Antonelli, Blasco Juan J. Ajis, Borisov Julian
Publikováno v:
2021 XIX Workshop on Information Processing and Control (RPIC).
Autor:
Felix Sebastian Leo, Thomsen, Jaime Andrés, Peña, Yongtao, Lu, Gerd, Huber, Michael, Morlock, Claus-Christian, Glüer, Claudio Augusto, Delrieux
Publikováno v:
Medical physics. 43(12)
Existing microstructure parameters are able to predict vertebral in vitro failure load, but for noisy in vivo data more complex algorithms are needed for a robust assessment.A new algorithm is proposed for the microstructural analysis of trabecular b
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 110008- (2024)
This paper details the acquisition, structure and preprocessing of the MultiCaRe Dataset, a multimodal case report dataset which contains data from 75,382 open access PubMed Central articles spanning the period from 1990 to 2023. The dataset includes
Externí odkaz:
https://doaj.org/article/5c2790729f774343a44d42b801d178d5