Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Jean Marie Vianney Kinani"'
Autor:
Leon Tabaro, Jean Marie Vianney Kinani, Alberto Jorge Rosales-Silva, Julio César Salgado-Ramírez, Dante Mújica-Vargas, Ponciano Jorge Escamilla-Ambrosio, Eduardo Ramos-Díaz
Publikováno v:
Information, Vol 15, Iss 8, p 473 (2024)
In this work, we explore the application of deep reinforcement learning (DRL) to algorithmic trading. While algorithmic trading is focused on using computer algorithms to automate a predefined trading strategy, in this work, we train a Double Deep Q-
Externí odkaz:
https://doaj.org/article/3547b98b3acc4e129149b0d00547a585
Autor:
Ángel Arturo Rendón-Castro, Dante Mújica-Vargas, Antonio Luna-Álvarez, Jean Marie Vianney Kinani
Publikováno v:
Entropy, Vol 25, Iss 8, p 1176 (2023)
In the field of image processing, noise represents an unwanted component that can occur during signal acquisition, transmission, and storage. In this paper, we introduce an efficient method that incorporates redescending M-estimators within the frame
Externí odkaz:
https://doaj.org/article/f1ff2070deda4aeea59cbb5e9ae27f2e
Autor:
Julio César Salgado-Ramírez, Jean Marie Vianney Kinani, Eduardo Antonio Cendejas-Castro, Alberto Jorge Rosales-Silva, Eduardo Ramos-Díaz, Juan Luis Díaz-de-Léon-Santiago
Publikováno v:
Mathematics, Vol 10, Iss 1, p 148 (2022)
Associative memories in min and max algebra are of great interest for pattern recognition. One property of these is that they are one-shot, that is, in an attempt they converge to the solution without having to iterate. These memories have proven to
Externí odkaz:
https://doaj.org/article/f48fd98d1f9c4888ade4c51e5f40d602
Autor:
Antonio Luna-Álvarez, ANGEL ARTURO RENDON CASTRO, Dante Mujica-Vargas, Jean Marie Vianney Kinani, Manuel de Jesus Matuz Cruz
Publikováno v:
Electronics; Volume 12; Issue 2; Pages: 314
In the self-driving vehicles domain, steering control is a process that transforms information obtained from sensors into commands that steer the vehicle on the road and avoid obstacles. Although a greater number of sensors improves perception and in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2564e3d13ce0446ff78e534c004372d
Autor:
Alberto J. Rosales-Silva, Jean Marie Vianney Kinani, Mario Dehesa‐González, Francisco J. Gallegos-Funes, Eduardo Ramos-Diaz
Publikováno v:
Color Research & Application. 45:825-836
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::296a665040001808500f32a10d2e471b
https://doi.org/10.1002/col.22515
https://doi.org/10.1002/col.22515
Publikováno v:
International Journal of Fuzzy Systems. 22:901-916
To yield well-suited image segmentation results, conventional clustering algorithms depend on customized hand-crafted features as well as an appropriate initialization process. This latter aspect is a mandatory pre-requisite for convergence of the al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3912e6441ec1d9ab96dccebbe63ac4e7
https://doi.org/10.1007/s40815-020-00824-x
https://doi.org/10.1007/s40815-020-00824-x
Publikováno v:
Research in Computing Science. 147:145-157
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49c20fac579a6d20ddcbb86893291520
https://doi.org/10.13053/rcs-147-7-12
https://doi.org/10.13053/rcs-147-7-12
Autor:
Manuel Matuz-Cruz, Antonio Luna-Alvarez, Eduardo Ramos-Diaz, Jean Marie Vianney Kinani, Dante Mújica-Vargas
Publikováno v:
CCE
This paper proposes an approach based on the use of time dimension within a Convolutional and Recurrent Hybrid Neural Network to carry out the driving of a simulated vehicle in real time. Convolutional layers are transformed into time-distributed lay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fd2138069a3c2fcf0c463bf0811c9bb
https://doi.org/10.1109/cce50788.2020.9299181
https://doi.org/10.1109/cce50788.2020.9299181
Autor:
Eduardo Ramos Diaz, Dante Mújica-Vargas, Francisco J. Gallegos Funes, Alberto Jorge Rosales Silva, Jean Marie Vianney Kinani
Publikováno v:
Journal of medical systems. 45(4)
In this study we propose a novel correction scheme that filters Magnetic Resonance Images data, by using a modified Linear Minimum Mean Square Error (LMMSE) estimator which takes into account the joint information of the local features. A closed-form
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::469b3b60d0fe429c758ac938bb6d0262
https://pubmed.ncbi.nlm.nih.gov/33604697
https://pubmed.ncbi.nlm.nih.gov/33604697
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030625535
A pair of fully automatic brain tissue and tumor segmentation frameworks are introduced in current paper, these consist of a parallel and cascade architectures of a specialized convolutional deep neural network designed to develop binary segmentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d28cfcee6c74872d447d9f60ffac14e2
https://doi.org/10.1007/978-3-030-62554-2_1
https://doi.org/10.1007/978-3-030-62554-2_1
