Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Francklin Rivas-Echeverría"'
Publikováno v:
Artificial Intelligence in Agriculture, Vol 12, Iss , Pp 109-126 (2024)
In this study, we extensively evaluated the viability of the state-of-the-art YOLOv8 architecture for object detection tasks, specifically tailored for smoke and wildfire identification with a focus on agricultural and environmental safety. All avail
Externí odkaz:
https://doaj.org/article/049361d6a78a49328ec6d90dc9c695b4
Publikováno v:
Array, Vol 22, Iss , Pp 100351- (2024)
This study delves into the comparative efficacy of YOLOv5 and YOLOv8 in corrosion segmentation tasks. We employed three unique datasets, comprising 4942, 5501, and 6136 images, aiming to thoroughly evaluate the models’ adaptability and robustness i
Externí odkaz:
https://doaj.org/article/d8944116ce084a99a4849cb178770d43
Publikováno v:
SN Applied Sciences, Vol 5, Iss 12, Pp 1-21 (2023)
Abstract The fashion industry often falls short of sustainability goals, but contemporary technological advancements offer a wide range of tools to address this issue. Artificial Intelligence (AI) has emerged as a particularly promising ally in promo
Externí odkaz:
https://doaj.org/article/446c6473c133498596c75702b73312bb
Autor:
Leo Ramos, Mike Bermeo, Andrés Quelal, Anthony Crespo, Gabriela Cajamarca, Francklin Rivas-Echeverría
Publikováno v:
SoftwareX, Vol 25, Iss , Pp 101611- (2024)
This paper introduces an intelligent system to assess sustainability in small and medium-sized fashion businesses. The most relevant and common sustainability indicators were identified through literature review. Fuzzy logic was applied to handle unc
Externí odkaz:
https://doaj.org/article/dfa4728d982a4ffeae70f6bcdccb40ce
Publikováno v:
EQUATIONS. 2:7-11
In this paper it’s presented a temperature prediction application using a modified neofuzzy neuronbased approach. This approach is an easy and accurate method for obtaining prediction results using climatic measurements from the previous days. The
Publikováno v:
DESIGN, CONSTRUCTION, MAINTENANCE. 2:42-47
In this research an indicator of social sustainability for Venezuela was designed using a statistical methodology, using information from the sustainable development social dimension for each of the Venezuelan states during 2007-2009. For building th
Autor:
Edmundo Casas, Leo Ramos, Cristian Romero, Francklin Rivas-Echeverria, Dunetchka Cerpa, Pablo Hernandez, Gonzalo Orellana, Jose Luis Ibarra, Carlos Rosas Albrecht, Natalia Cuevas, Juan Carlos Gallardo Hurtado
Publikováno v:
IEEE Access, Vol 12, Pp 77831-77851 (2024)
Ensuring the safe and reliable operation of underground oil pipelines is crucial to prevent environmental disasters and maintain uninterrupted energy supply. Yet, this vast network faces threats from third-party activities, natural disasters, and agi
Externí odkaz:
https://doaj.org/article/452d9581cee14774a9642a20837493dc
Autor:
Leo Ramos, Edmundo Casas, Cristian Romero, Francklin Rivas-Echeverria, Manuel Eugenio Morocho-Cayamcela
Publikováno v:
IEEE Access, Vol 12, Pp 13711-13728 (2024)
This study explores the effectiveness of the ConvNeXt model, an advanced computer vision architecture, in the task of image captioning. We integrated ConvNeXt with a Long Short-Term Memory network that includes a visual attention module, focusing on
Externí odkaz:
https://doaj.org/article/98f9f35886c346faaa431208d3718d55
Autor:
Pascal Venet, Ronan German, Abdenour Soualhi, Maawad Makdessi, Ali Sari, Guy Clerc, Hubert Razik, Francklin Rivas Echeverría
Publikováno v:
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics, 2018, 14 (1), pp.24-34. ⟨10.1109/TII.2017.2701823⟩
IEEE Transactions on Industrial Informatics, Institute of Electrical and Electronics Engineers, 2018, 14 (1), pp.24-34. ⟨10.1109/TII.2017.2701823⟩
IEEE Transactions on Industrial Informatics, 2018, 14 (1), pp.24-34. ⟨10.1109/TII.2017.2701823⟩
IEEE Transactions on Industrial Informatics, Institute of Electrical and Electronics Engineers, 2018, 14 (1), pp.24-34. ⟨10.1109/TII.2017.2701823⟩
International audience; Despite their great improvements, reliability and availability of power electronic devices remain always a focus. In safety-critical equipment, where the occurrence of faults can generate catastrophic losses, health monitoring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::189bb27b875a382390b2d1e7e15362d0
https://hal.archives-ouvertes.fr/hal-01631513
https://hal.archives-ouvertes.fr/hal-01631513
Publikováno v:
IEEE Access, Vol 11, Pp 126155-126171 (2023)
This paper introduces EngineFaultDB, a novel dataset capturing the intricacies of automotive engine diagnostics. Centered around the widely represented C14NE spark ignition engine, data was collected under controlled laboratory conditions, simulating
Externí odkaz:
https://doaj.org/article/a394fda4f9e24daf8ae24577231e7b40