Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Leo Ramos"'
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:
Revista de Saúde Pública, Vol 58 (2024)
ABSTRACT OBJECTIVE To analyze the impact of the fiscal austerity policy (PAF) on health spending in Brazilian municipalities, considering population size and source of funds. METHODS The interrupted time series method was used to analyze the effect o
Externí odkaz:
https://doaj.org/article/c2a5ec86770644ffb2a7195ea2957c25
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:
Cadernos de Saúde Pública, Vol 40, Iss 6 (2024)
Abstract: Self-rated health is an indicator that can be easily identified in health surveys, widely used to measure physical, social, mental, and health aspects of the population, and predict premature mortality. In Venezuela, this information only b
Externí odkaz:
https://doaj.org/article/44ca0599420d490f9c776be8a078772b
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:
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, Oscar Chang
Publikováno v:
Uniciencia, Vol 37, Iss 1, Pp 1-11 (2023)
[Objective] The moment Russia officially invaded Ukraine, the world experienced a period of tension and uncertainty. As a social release valve digital communication, channels increased their number of users and activity, generating a large amount of
Externí odkaz:
https://doaj.org/article/3794b4bb06104303ba4989ed6a2b6528
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:
Cadernos de Saúde Pública, Vol 39, Iss 11 (2023)
Resumo: Este estudo objetiva identificar o tipo de apoio recebido por cuidadoras familiares de pessoas idosas na pandemia de COVID-19, assim como os fatores socioeconômicos de saúde e relativos ao cuidado associados. Utilizou-se dados do estudo CUI
Externí odkaz:
https://doaj.org/article/caab0401f10d429581e0ff38167982fd