Fuzzy Edge-Detection as a Preprocessing Layer in Deep Neural Networks for Guitar Classification

Autor: Cesar Torres, Claudia I. Gonzalez, Gabriela E. Martinez

Publikováno v: Sensors, Vol 22, Iss 15, p 5892 (2022)

Deep neural networks have demonstrated the capability of solving classification problems using hierarchical models, and fuzzy image preprocessing has proven to be efficient in handling uncertainty found in images. This paper presents the combination

Externí odkaz: https://doaj.org/article/687ceda8b18b403cbeba5969eea05348

PSVI-15 Impact of Solubility of Dietary Fiber Fed During the Pre-Farrow Period on Sow and Litter Performance in Lactation

Autor: Gabriela E Martinez, David Rosero, Pete Wilcock, Eric van Heugten

Publikováno v: J Anim Sci

This study evaluated the impact of level and solubility of dietary fiber on sow and litter performance when fed during the pre-farrowing period. Sows (n = 82) were assigned by BW to a 2×2 factorial arrangement plus a control treatment (regular lacta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c99503a3f00c6122b69a92b2f25da052
https://europepmc.org/articles/PMC9004008/

A new approach for an intuitionistic fuzzy Sugeno integral for decision making

Autor: Oscar Castillo, Gabriela E. Martinez, Patricia Melin

Publikováno v: Notes on Intuitionistic Fuzzy Sets. 25:41-52

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b877c11493637f53246eab4f2bddbb4
https://doi.org/10.7546/nifs.2019.25.2.41-52

Optimization of Convolutional Neural Networks Architectures Using PSO for Sign Language Recognition

Autor: Gabriela E. Martinez, Jonathan Fregoso, Claudia I. Gonzalez

Publikováno v: Axioms, Vol 10, Iss 139, p 139 (2021)
Axioms; Volume 10; Issue 3; Pages: 139

This paper presents an approach to design convolutional neural network architectures, using the particle swarm optimization algorithm. The adjustment of the hyper-parameters and finding the optimal network architecture of convolutional neural network

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::235c4cd9f54095bef4c99e9df5a3460f
https://www.mdpi.com/2075-1680/10/3/139

An Improved Convolutional Neural Network Based on a Parameter Modification of the Convolution Layer

Autor: Claudia I. Gonzalez, Patricia Melin, Gabriela E. Martinez, Ruth Rodriguez

Publikováno v: Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications ISBN: 9783030687755
Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

Convolutional Neural Network models represent a powerful tool that can be applied in image classification tasks. Convolutional Neural Networks have a wide variety of parameters and these can produce different results for the same tasks depending on t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65c9a42cc51b49aee83692217cb90a03
https://doi.org/10.1007/978-3-030-68776-2_8