Zobrazeno 1 - 10
of 357
pro vyhledávání: '"Erik Cuevas"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-27 (2024)
Abstract In many engineering optimization problems, the number of function evaluations is severely limited by the time or cost constraints. These limitations present a significant challenge in the field of global optimization, because existing metahe
Externí odkaz:
https://doaj.org/article/d77b91220c724ea2b46b3362518602ad
Publikováno v:
IEEE Access, Vol 12, Pp 48277-48293 (2024)
Graph-based methods, distinguished by their resilience to noise, have demonstrated efficacy in image segmentation compared to alternative techniques. Despite their notable capabilities, these methods present over- and under segmentation problems. Thi
Externí odkaz:
https://doaj.org/article/aa7696c9d60c41e69c61d8b38b84ddc7
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31152- (2024)
Image segmentation is a computer vision technique that involves dividing an image into distinct and meaningful regions or segments. The objective was to partition the image into areas that share similar visual characteristics. Noise and undesirable a
Externí odkaz:
https://doaj.org/article/1b84b1ec70d446ed9fa741b81566de43
Publikováno v:
Symmetry, Vol 16, Iss 7, p 870 (2024)
The challenges associated with conventional methods of COVID-19 detection have prompted the exploration of alternative approaches, including the analysis of lung X-ray images. This paper introduces a novel algorithm designed to identify abnormalities
Externí odkaz:
https://doaj.org/article/24bc6cd845e14c85983c802c30794724
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e25933- (2024)
Deepfake is a type of face manipulation technique using deep learning that allows for the replacement of faces in videos in a very realistic way. While this technology has many practical uses, if used maliciously, it can have a significant number of
Externí odkaz:
https://doaj.org/article/4501ce359b9149c693a076fb35f3ec61
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0303670 (2024)
Breast cancer remains a critical global concern, underscoring the urgent need for early detection and accurate diagnosis to improve survival rates among women. Recent developments in deep learning have shown promising potential for computer-aided det
Externí odkaz:
https://doaj.org/article/1e4d8958f025482094254286f9b8b65d
Publikováno v:
IEEE Access, Vol 11, Pp 104038-104069 (2023)
A metaheuristic method is an optimization technique that is generally inspired by natural or physical processes. The use of metaphors has created a tendency to reproduce existing algorithms with slight modifications or variations rather than encourag
Externí odkaz:
https://doaj.org/article/ea190b7fa8cc48448f02787ee88f18cb
Publikováno v:
IEEE Access, Vol 11, Pp 73803-73822 (2023)
Homomorphic filtering (HF) is a methodology that separates an image into two components: illumination and reflectance. Through the processing of these components, it is possible to significantly improve the contrast of the low-frequency components wh
Externí odkaz:
https://doaj.org/article/307324a48b89499083dfec64eaebfbb6
Autor:
Hector Escobar, Erik Cuevas, Miguel Islas Toski, Francisco Javier Ceron Ramirez, Marco Perez-Cisneros
Publikováno v:
IEEE Access, Vol 11, Pp 67070-67085 (2023)
In recent years, statistical methods have been applied to the study of crime patterns. However, these schemes have several drawbacks that prevent accurate modeling of complex behaviors. Agent-based models (ABM) allow the modeling of human behavior by
Externí odkaz:
https://doaj.org/article/8070e967f86646bdbac5b75de47cab3b
Publikováno v:
IEEE Access, Vol 11, Pp 54221-54239 (2023)
Image segmentation is the process of partitioning an image into multiple regions or objects, each representing a coherent and meaningful part of the image. Segmentation methods are highly sensitive to the lack of homogeneity in regions or objects owi
Externí odkaz:
https://doaj.org/article/5360d847f35e4519a5b5064359680163