Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Mario Gongora"'
Autor:
Rafael Linero-Ramos, Carlos Parra-Rodríguez, Alexander Espinosa-Valdez, Jorge Gómez-Rojas, Mario Gongora
Publikováno v:
Drones, Vol 8, Iss 9, p 503 (2024)
This paper presents an evaluation of different convolutional neural network (CNN) architectures using false-colour images obtained by multispectral sensors on drones for the detection of Black Sigatoka in banana crops. The objective is to use drones
Externí odkaz:
https://doaj.org/article/70008d5f14e64fc088dbeda08edd328d
Publikováno v:
IEEE Access, Vol 8, Pp 150974-150988 (2020)
Making decisions under uncertainty is very challenging but necessary as most real-world scenarios are plagued by disturbances that can be generated internally, by the hardware itself, or externally, by the environment. Hence, we propose a general dec
Externí odkaz:
https://doaj.org/article/905e53a659bd4d4d82fbc678f6bca579
Publikováno v:
International Journal of Intelligent Systems. 37:2679-2682
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. Editorial of the special issue on the "Applications of Computational Intelligence based Systems for So
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c225e87f4d8fea420197d67a912877f0
https://doi.org/10.1002/int.22862
https://doi.org/10.1002/int.22862
Publikováno v:
ACM Computing Surveys. 55:1-39
In a dynamic stream there is an assumption that the underlying process generating the stream is non-stationary and that concepts within the stream will drift and change as the stream progresses. Concepts learned by a classification model are prone to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d9242b66001a75eb62ef2c51d7ec090
https://doi.org/10.1145/3494832
https://doi.org/10.1145/3494832
Autor:
Alejandro Pena, Juan C. Tejada, Juan David Gonzalez-Ruiz, Lina María Sepúlveda-Cano, Francisco Chiclana, Fabio Caraffini, Mario Gongora
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link In this paper, we present a model for a serial robotic system with flexible joints (RFJ) using Euler–
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1547b76130491c6401dd685f099016d
https://cronfa.swan.ac.uk/Record/cronfa62420
https://cronfa.swan.ac.uk/Record/cronfa62420
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783031302282
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::286b175e4e69283fdb192209fd4e7872
https://doi.org/10.1007/978-3-031-30229-9_32
https://doi.org/10.1007/978-3-031-30229-9_32
Autor:
Carlos Parra, Mario Gongora, Fabio Caraffini, Johana Florez-Lozano, Stefan Kuhn, Simon Colreavy-Donnelly
Publikováno v:
Integrated Computer-Aided Engineering. 27:403-416
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. The issue of detecting improvised explosive devices, henceforth IEDs, in rural or built-up urban envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af9c694ba82161e387d17b393e01ca84
https://doi.org/10.3233/ica-200638
https://doi.org/10.3233/ica-200638
Publikováno v:
International Journal of Intelligent Systems
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. The unfolding COVID-19 pandemic has highlighted the global need for robust predictive and containment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6c22501a2c3d01b497a90fef46f404c
https://cronfa.swan.ac.uk/Record/cronfa60901
https://cronfa.swan.ac.uk/Record/cronfa60901
Publikováno v:
Sustainability; Volume 14; Issue 11; Pages: 6668
open access article. Given the challenges in reducing greenhouse gases (GHG), one of the sectors that have attracted the most attention in the Sustainable Development Agenda 2030 (SDA-2030) is the agricultural sector. In this context, one of the crop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57e289faee9515c25e10886207179014
https://doi.org/10.3390/su14116668
https://doi.org/10.3390/su14116668