Zobrazeno 1 - 10
of 319
pro vyhledávání: '"Antonio Berlanga"'
Publikováno v:
Energies, Vol 17, Iss 18, p 4612 (2024)
This paper presents the results of the technical validation of an innovative prototype for drying alfalfa bales. It is based on a 4.1 kW Heat Pump (HP) that uses an advanced technology (optimized for extracting the humidity from the air) and is direc
Externí odkaz:
https://doaj.org/article/93c17f7bdce74cc486e5ce06775a18ff
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 4, Pp 121-131 (2022)
Facial verification has experienced a breakthrough in recent years, not only due to the improvement in accuracy of the verification systems but also because of their increased use. One of the main reasons for this has been the appearance and use of n
Externí odkaz:
https://doaj.org/article/0e4e23a44f8d4256bc3ac262b3f4bdd1
Akademický článek
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Publikováno v:
IEEE Access, Vol 8, Pp 143479-143493 (2020)
Within the design and development of a smartphone, an important phase arises regarding time, which is related to the tuning of the ISP (image signal processor) of the camera. The ISP is an element that allows the adjustment of the images captured by
Externí odkaz:
https://doaj.org/article/03a175861e8d4292923933b931580cce
Publikováno v:
International Journal of Information Technology & Decision Making. :1-23
One of the problems facing online marketing in omni-channel environments is efficient budget allocation to each channel. The complexity of this problem is greater in omni-channel environments due to the greater number of channels and the need to anal
Publikováno v:
Multimedia Tools and Applications. 82:3911-3930
The process of parametric equalization of musical pieces seeks to highlight their qualities by cutting and/or stimulating certain frequencies. In this work, we present a neural model capable of equalizing a song according to the musical genre that is
Publikováno v:
Applied Sciences, Vol 11, Iss 3, p 1285 (2021)
Learning systems have been focused on creating models capable of obtaining the best results in error metrics. Recently, the focus has shifted to improvement in the interpretation and explanation of the results. The need for interpretation is greater
Externí odkaz:
https://doaj.org/article/059c8a879ec0449e99594728aafae656
Publikováno v:
Algorithms, Vol 2, Iss 1, Pp 282-300 (2009)
In this paper a method for selecting features for Human Activity Recognition from sensors is presented. Using a large feature set that contains features that may describe the activities to recognize, Best First Search and Genetic Algorithms are emplo
Externí odkaz:
https://doaj.org/article/96a1bde8954045468221929a2fa3a636
Publikováno v:
IEEE Internet of Things Journal. :1-1
Autor:
Antonio Berlanga, Juan A. Besada, Jesús García Herrero, José M. Molina, Javier I. Portillo, José R. Casar
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 8, Pp 1125-1134 (2004)
The design of statistical classification systems for optical character recognition (OCR) is a cumbersome task. This paper proposes a method using evolutionary strategies (ES) to evolve and upgrade the set of parameters in an OCR system. This OCR is a
Externí odkaz:
https://doaj.org/article/02d3a3d4042a4311bcfb922235ea1b91