Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Diana Porro"'
Autor:
Yumirka Comesaña García, Ángel Dago Morales, Isneri Talavera Bustamante, Reinaldo Fernández Fernández, Diana Porro Muñoz
Publikováno v:
Revista CENIC Ciencias Químicas, Vol 40, Iss 2, Pp 89-94 (2009)
En la industria de refinación del petróleo es frecuente el uso de crudos de diferentes orígenes, lo que origina variaciones apreciables en la composición química de los productos obtenidos durante el proceso de refinación. La aplicación de las
Externí odkaz:
https://doaj.org/article/81b2b4fea80e48dbb570ac2bd8860f3e
Autor:
Nusrat Sharmin, Eleftherios Garyfallidis, Diana Porro-Muñoz, Paolo Avesani, Emanuele Olivetti, Thien Bao Nguyen
Publikováno v:
Data Mining and Knowledge Discovery. 29:1258-1279
Diffusion magnetic resonance imaging data allows reconstructing the neural pathways of the white matter of the brain as a set of 3D polylines. This kind of data sets provides a means of study of the anatomical structures within the white matter, in o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::782ac480b34a5ce647dddc5a1450f69a
https://doi.org/10.1007/s10618-015-0408-z
https://doi.org/10.1007/s10618-015-0408-z
Publikováno v:
Journal of Chemometrics. 24:448-453
This paper proposes a new calibration model based on regularized sliced inverse regression (RSIR) for predicting the percentage of crystallinity of fluidized catalytic cracking catalysts (FCC) using Fourier transform mid-infrared spectroscopy (FT-MIR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dafa609d353e9cce5bf26334e52530c
https://doi.org/10.1002/cem.1319
https://doi.org/10.1002/cem.1319
Autor:
Ana C. Núñez, Noslen Hernández, Diana Porro, Angel Dago, María Dolores Ruiz, Isneri Talavera Bustamante
Publikováno v:
Journal of Chemometrics. 24:444-447
The goal of this paper is the development of a multivariate calibration method for the quantitative determination of petroleum hydrocarbons in water and waste water by using FT-IR spectroscopy and PLS as a regression method to improve the results att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ee67e9d959369efbfe61fb66cf1e570
https://doi.org/10.1002/cem.1284
https://doi.org/10.1002/cem.1284
Autor:
Noslen Hernández, Márcia M. C. Ferreira, Angel Dago, Isneri Talavera, Rolando J. Biscay, Diana Porro
Publikováno v:
Journal of Chemometrics. 22:686-694
The introduction of support vector regression (SVR) and least square support vector machines (LS-SVM) methods for regression purposes in the field of chemometrics has provided advantageous alternatives to the existing linear and nonlinear multivariat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e08e6fee7ae6e6daf360e2d98eb29c3
https://doi.org/10.1002/cem.1168
https://doi.org/10.1002/cem.1168
Autor:
Dania Porro Muñoz, Diana Porro Muñoz, Noslen Hernández, Yoanna Martínez-Díaz, Francisco José Silva Mata, Isneri Talavera Bustamante, Lázaro Bustio Martínez
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319058849
Computational Intelligence in Digital Forensics
Computational Intelligence in Digital Forensics
The combination of computational methods and the techniques of Thin Layer Chromatography (TLC), Ultraviolet (UV) and Gas Chromatography (GC), brings significant improvements in the speed and accuracy of the analysis and identification of drugs of abu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a260679de96238c26d54d89eafa055d
https://doi.org/10.1007/978-3-319-05885-6_10
https://doi.org/10.1007/978-3-319-05885-6_10
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642418211
CIARP (1)
CIARP (1)
Missing values can occur frequently in many real world situations. Such is the case of multi-way data applications, where objects are usually represented by arrays of 2 or more dimensions e.g.i¾?biomedical signals that can be represented as time-fre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef74bd96d404eb4e6afc4b4fc14d2df6
https://doi.org/10.1007/978-3-642-41822-8_27
https://doi.org/10.1007/978-3-642-41822-8_27
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642332746
CIARP
CIARP
For many applications, a straightforward representation of objects is by multi-dimensional arrays e.g. signals. However, there are only a few classification tools which make a proper use of this complex structure to obtain a better discrimination bet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7875318f7f036fa9e5c26ce14d1f90c6
https://doi.org/10.1007/978-3-642-33275-3_53
https://doi.org/10.1007/978-3-642-33275-3_53
Publikováno v:
Signal Processing
Representation of objects by multi-dimensional data arrays has become very common for many research areas e.g. image analysis, signal processing and chemometrics. In most cases, it is the straightforward representation obtained from sophisticated mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a7f9220e166e3b326f1a3c10dc1bdae
Autor:
Mauricio Orozco-Alzate, Diana Porro-Muñoz, Isneri Talavera, Noslen Hernández, Robert P. W. Duin
Publikováno v:
Journal of Chemometrics
In chemometrics, spectral data are typically represented by vectors of features in spite of the fact that they are usually plotted as functions of e.g. wavelengths and concentrations. In the representation, this functional information is thereby not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b1c8b43cad476263e040ea93bb2296e