Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Francklin Rivas-Echeverria"'
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
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
Publikováno v:
IEEE Access, Vol 11, Pp 96554-96583 (2023)
This paper presents a comprehensive evaluation of YOLO architectures for smoke and wildfire detection, including YOLOv5, YOLOv6, YOLOv7, YOLOv8, and YOLO-NAS. We aim to assess their effectiveness in early detection of wildfires. The Foggia dataset is
Externí odkaz:
https://doaj.org/article/696b3fe88be74f4883c88eeb14d3d69d
Autor:
Cristian García García, Javier Cárcel Carrasco, Mary Vergara Paredes, Francklin Rivas Echeverria, Franklin Camacho
Publikováno v:
Ingeniare. Revista chilena de ingeniería. 30:57-68
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
Autor:
Rita M. Ávila de Hernández, Francklin Rivas-Echeverria, Edwin A. Hernández-Caraballo, Tarcisio Capote-Luna
Publikováno v:
Talanta. 74:871-878
Radial basis neural networks (RBNNs) were developed and evaluated for discrimination of specimens of ‘aguardiente de Cocuy’, a spirituous beverage produced in the northwestern region of Venezuela. The beverage is distilled from the must of Agave