This article introduces a methodology for efficiently analysing hyperspectral images from pharmaceutical formulations. It provides information on the relative concentration and spatial distribution of active pharmamceutical ...
Prats-Montalbán, José Manuel; Cocchi, Marina; Ferrer Riquelme, Alberto José(Wiley, 2015-06)
[EN] When trying to analyze spatial relationships in image analysis, wavelets appear as one of the state-of-the-art tools.
However, image analysis is a problem-dependent issue, and different applications might require ...
Silva, Carolina S.; Pimentel, María Fernanda; Honorato, Ricardo S.; Pasquini, Celio; Prats Montalbán, José Manuel; Ferrer Riquelme, Alberto José(Royal Society of Chemistry, 2014-10-21)
[EN] Hyperspectral images in the near infrared range (HSI-NIR) were evaluated as a nondestructive method to detect fraud in documents. Three different types of typical forgeries were simulated by (a) obliterating text, (b) ...
Franca, Leandro de Moura; Pimentel, Maria Fernanda; Simoes, Simone da Silva; Grangeiro, Severino, Jr.; Prats-Montalbán, José Manuel; Ferrer, Alberto(Elsevier, 2016-07)
[EN] Pharmaceutical quality control is important for improving the effectiveness, purity and safety of drugs, as well as for the prevention or control of drug degradation. In the present work, near infrared hyperspectral ...
[EN] In this work the information provided by a noninvasive imaging sensor was used to develop two algorithms for real time fault detection and product quality monitoring during the Vacuum Freeze-Drying of single dose ...
Opstad Kruse, Ole Mathis; Prats Montalbán, José Manuel; Indahl, Ulf Geir; Kvaal, Knut; Ferrer Riquelme, Alberto José; Futsaether, Cecilia Marie(Elsevier, 2014-10)
Plants exposed to stress due to pollution, disease or nutrient deficiency often develop visible symptoms on leaves such as spots, colour changes and necrotic regions. Early symptom detection is important for precision ...
[EN] Modern industrial processes are characterized by acquiring massive amounts of highly collinear data. In this context, partial least-squares (PLS) regression, if wisely used, can become a strategic tool for process ...
Prats Montalbán, José Manuel; Ferrer Riquelme, Alberto José; Vitale, Raffaele; Folch Fortuny, Abel(Editorial Universitat Politècnica de València, 2015)
The Chemometrics Workshop for Young Researchers is a multidisciplinary symposium aimed at gathering young researchers and international experts in the field of multivariate data analysis. The main goal of the Workshop is ...
Aguado Sarrió, Eric; Prats-Montalbán, José Manuel; Sanz Requena, Roberto; Marti Bonmati, Luis; Alberich Bayarri, Ángel; Ferrer Riquelme, Alberto José(Elsevier, 2015)
[EN] Multivariate Curve Resolution (MCR) has been applied on prostate Diffusion Weighted-Magnetic Resonance Images (DW-MRI). Different physiological-based modeling approaches of the diffusion process have been submitted ...
This paper discusses the potential of Multivariate Curve Resolution (MCR) models to extract physiological dynamics behaviors from Dynamic Contrast Enhanced Magnetic Resonance (DCE-MR) Imaging prostate perfusion studies for ...
Ferrer Hermenegildo, Alberto(Universitat Politècnica de València, 2021-04-21)
[ES] El presente Trabajo Fin de Grado (TFG) tiene como objetivo mejorar la calidad final de un detergente mediante la metodología Seis Sigma de mejora de procesos.
El TFG aquí desarrollado surge debido a la existencia ...
[EN] Nowadays, the detection, localization, and quantification of different kinds of features
in an RGB image (segmentation) is extremely helpful for, e.g., process monitoring
or customer product acceptance. In this ...
[EN] In current radiology practice, multi-parametric magnetic resonance imaging (mpMRI) has recently become a key tool in diagnostic and therapeutic decisions. Although it is based on the subjective assessment of T2-weighted ...
[EN] N-PLS, as the natural extension of PLS to N-way structures, tries to maximize the covariance between an X and a Y N-way data arrays. It provides a useful framework for fitting prediction models to N-way data. However, ...
[EN] We introduce the R package sNPLS that performs N-way partial least squares (N-PLS) regression and Sparse (L1-penalized) N-PLS regression in three-way arrays. N-PLS regression is superior to other methods for three-way ...
Prats Montalbán, José Manuel; Ferrer Riquelme, Alberto José(Elsevier, 2014-12-04)
The monitoring, fault detection and visualization of defects are a strategic issue for product quality. This paper presents a novel methodology based on the integration of textural Multivariate image analysis (MIA) and ...
Hervás Marín, David(Universitat Politècnica de València, 2019-11-12)
[ES] En las últimas décadas los avances tecnológicos han tenido como consecuencia la generación de una creciente cantidad de datos en el campo de la biología y la biomedicina. A día de hoy, las así llamadas tecnologías ...
Ferrer Hermenegildo, Alberto(Universitat Politècnica de València, 2022-11-24)
[ES] El presente Trabajo Fin de Máster (TFM) tiene como objetivo mejorar el actual sistema de predicción de la caducidad y de detección de defectos de una empresa del sector alimentario en un producto vegetal (lechuga tipo ...
Prats Montalbán, José Manuel; Ruiz Font, Leonor; Boza García, Andrés; Fernández Diego, Marta; Gordo Monzó, Mari Luz; Alarcón Valero, Faustino; Alemany Díaz, María del Mar; Cuenca González, María Llanos(Editorial Universitat Politècnica de València, 2018-09-26)
[EN] The study focuses on establishing a methodology for the evaluation and selection of objective indicators based on statistical evidence, in order to determine how the scope of a given competence should be evaluated ...