Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Valentin Calzada-Ledesma"'
Autor:
Juan De Anda-Suarez, Valentin Calzada-Ledesma, David Asael Gutierrez-Hernandez, Raul Santiago-Montero, Luis Fernando Villanueva-Jimenez, Sergio Rodriguez-Miranda
Publikováno v:
IEEE Access, Vol 10, Pp 7326-7340 (2022)
Coronavirus disease 2019 (COVID-19) is a highly communicable viral infection caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2), which has spread rapidly throughout the world. From a computer science point of view, research eff
Externí odkaz:
https://doaj.org/article/4be0d620081a4279a6c24f82e119e2b8
Autor:
Sergio Rodríguez-Miranda, Javier Yañez-Mendiola, Valentin Calzada-Ledesma, Luis Fernando Villanueva-Jimenez, Juan De Anda-Suarez
Publikováno v:
Machines, Vol 11, Iss 6, p 592 (2023)
Achieving the highest levels of repeatability and precision, especially in robot manipulators applied in automation manufacturing, is a practical pose-recognition problem in robotics. Deviations from nominal robot geometry could produce substantial e
Externí odkaz:
https://doaj.org/article/a53f174d13464b3895ebd48fa0b17ea9
Autor:
Luis Fernando Villanueva-Jimenez, Jose Antonio Vazquez-Lopez, Javier Yanez-Mendiola, Valentin Calzada-Ledesma, Juan De Anda-Suarez
Publikováno v:
IEEE Access, Vol 9, Pp 104059-104069 (2021)
The management of the uncertainty existing in any production system is fundamental to define machine scheduling models that allow programming production instances attached to the real world. In this research, a generalized decision-making system is d
Externí odkaz:
https://doaj.org/article/d8c3a06ab0274f99a4646ca0527ceef5
Autor:
Juan De Anda-Suarez, Juan Martin Carpio-Valadez, Hector J. Puga-Soberanese, Valentin Calzada-Ledesma, Alfonso Rojas-Dominguez, Solai Jeyakumar, Andres Espinal
Publikováno v:
IEEE Access, Vol 7, Pp 154859-154871 (2019)
Estimation of Distribution Algorithms (EDAs) maintain and iteratively update a probabilistic model to tackle optimization problems. The Boltzmann Probability Distribution Function (Boltzmann-PDF) provides advantages when used in energy based EDAs. Ho
Externí odkaz:
https://doaj.org/article/88dfb0942195439993f0516fead02de0
Autor:
Valentin Calzada-Ledesma, Hector J. Puga-Soberanes, Manuel Ornelas-Rodriguez, Alfonso Rojas-Dominguez, Juan Martin Carpio-Valadez, Andres Espinal, Jorge A. Soria-Alcaraz, Marco A. Sotelo-Figueroa
Publikováno v:
IEEE Access, Vol 6, Pp 40450-40462 (2018)
Effective texture classification requires image descriptors capable of efficiently detecting, extracting, and describing the most relevant information in the images, so that, for instance, different texture classes can be distinguished despite image
Externí odkaz:
https://doaj.org/article/2f2eab0157bf498794f97f570d406975
Autor:
José Antonio Vázquez-López, Juan De Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez
Publikováno v:
IEEE Access, Vol 9, Pp 104059-104069 (2021)
The management of the uncertainty existing in any production system is fundamental to define machine scheduling models that allow programming production instances attached to the real world. In this research, a generalized decision-making system is d
Autor:
Horacio Rostro-Gonzalez, Andrés Espinal, Marco Aurelio Sotelo-Figueroa, Omar-Jair Purata-Sifuentes, Valentin Calzada-Ledesma, G. López-Vázquez, O. Alba-Cisneros, R. A. Vázquez
Publikováno v:
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications ISBN: 9783030354442
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms
Evolutionary Algorithms (EAs) and other kind of metaheuristics are utilized to either design or optimize the architecture of Artificial Neural Networks (ANNs) in order to adapt them for solving a specific problem; these generated ANNs are known as Ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eec7b7fa3321256a19e62fd3a6ba9b01
https://doi.org/10.1007/978-3-030-35445-9_31
https://doi.org/10.1007/978-3-030-35445-9_31
Autor:
Valentin Calzada-Ledesma, Manuel Ornelas-Rodríguez, Alfonso Rojas-Domínguez, Claudia Gómez, Hector J. Puga-Soberanes, Martín Carpio
Publikováno v:
Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications ISBN: 9783319710075
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Texture classification is a problem widely studied in computer vision, there exist two fundamental issues: how to describe texture images and how to define a similarity measure. The texture descriptors are mainly used to extract and represent the fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a59249bed0ef107874accaaa0866c6
https://doi.org/10.1007/978-3-319-71008-2_37
https://doi.org/10.1007/978-3-319-71008-2_37
Autor:
Alfonso Rojas-Domínguez, Valentin Calzada-Ledesma, Juan Martin Carpio-Valadez, Hector J. Puga-Soberanes, Claudia Gómez-Santillán, Manuel Ornelas-Rodríguez
Publikováno v:
Nature-Inspired Design of Hybrid Intelligent Systems ISBN: 9783319470535
Nature-Inspired Design of Hybrid Intelligent Systems
Nature-Inspired Design of Hybrid Intelligent Systems
Grammatical Evolution (GE) is a grammar-based form of Genetic Programming. In GE, a Mapping Process (MP) and a Backus–Naur Form grammar (defined in the problem context) are used to transform each individual’s genotype into its phenotype form (fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8abc0e97b557cc4904a019e667e9f112
https://doi.org/10.1007/978-3-319-47054-2_52
https://doi.org/10.1007/978-3-319-47054-2_52