E-LIB Suche - Ergebnisse für: Pérez-Marín, D.

1

Machine learning-assisted near-infrared spectroscopy for ra..:

Menevseoglu, A. ; Entrenas, J.A. ; Gunes, N...
Food Control. 159 (2024) - p. 110272 , 2024

Link: https://doi.org/10.1016/..

2

About Gamifying an Emotional Learning Companion to Teach Pr..:

Ocaña, J.M. ; Morales-Urrutia, E.K. ; Pérez-Marín, D..
Simulation & Gaming. 54 (2023) 4 - p. 402-426 , 2023

Link: https://doi.org/10.1177/..

3

Performance comparison of sampling designs for quality and ..:

Adame-Siles, J.A. ; Guerrero-Ginel, J.E. ; Fearn, T...
Chemometrics and Intelligent Laboratory Systems. 198 (2020) - p. 103940 , 2020

Link: https://doi.org/10.1016/..

4

Short Communication: The potential of portable near infrare..:

Piotrowski, C. ; Garcia, R. ; Garrido-Varo, A....
Animal. 13 (2019) 12 - p. 3018-3021 , 2019

Link: https://doi.org/10.1017/..

5

Quantification and spatial characterization of moisture and..:

Garrido-Novell, C. ; Garrido-Varo, A. ; Pérez-Marín, D...
Journal of Food Engineering. 153 (2015) - p. 117-123 , 2015

Link: https://doi.org/10.1016/..

6

Prediction of fatty acids content in pig adipose tissue by ..:

Zamora-Rojas, E. ; Garrido-Varo, A. ; De Pedro-Sanz, E...
Meat Science. 95 (2013) 3 - p. 503-511 , 2013

Link: https://doi.org/10.1016/..

7

Handheld NIRS analysis for routine meat quality control: Da..:

Zamora-Rojas, E. ; Pérez-Marín, D. ; De Pedro-Sanz, E...
Chemometrics and Intelligent Laboratory Systems. 114 (2012) - p. 30-35 , 2012

Link: https://doi.org/10.1016/..

8

In-situ Iberian pig carcass classification using a micro-el..:

Zamora-Rojas, E. ; Pérez-Marín, D. ; De Pedro-Sanz, E...
Meat Science. 90 (2012) 3 - p. 636-642 , 2012

Link: https://doi.org/10.1016/..

9

Improving NIRS predictions of ingredient composition in com..:

Pérez-Marín, D. ; Fearn, T. ; Guerrero, J.E..
Chemometrics and Intelligent Laboratory Systems. 110 (2012) 1 - p. 108-112 , 2012

Link: https://doi.org/10.1016/..

10

Direct prediction of bioethanol yield in sugar beet pulp us..:

Magaña, C. ; Núñez-Sánchez, N. ; Fernández-Cabanás, V.M....
Bioresource Technology. 102 (2011) 20 - p. 9542-9549 , 2011

Link: https://doi.org/10.1016/..

11

How Often Do References Need to Be Measured When Using a ne..:

Vallesquino-Laguna, P. ; Fearn, T. ; Garrido-Varo, A....
Journal of Near Infrared Spectroscopy. 18 (2010) 1 - p. 79-85 , 2010

Link: https://doi.org/10.1255/..

12

Robustness in pig fat NIRS calibrations by orthogonal proje..:

Pérez-Marín, D. ; Fearn, T. ; Guerrero, J.E..
Chemometrics and Intelligent Laboratory Systems. 100 (2010) 1 - p. 36-40 , 2010

Link: https://doi.org/10.1016/..

13

Multivariate Near-Infrared Reflection Spectroscopy Strategi..:

Fernández-Ahumada, E. ; Roger, J. M. ; Palagos, B....
Applied Spectroscopy. 64 (2010) 1 - p. 83-91 , 2010

Link: https://doi.org/10.1366/..

14

A feasibility study on the use of near-infrared spectroscop..:

Pérez-Marín, D. ; De Pedro Sanz, E. ; Guerrero-Ginel, J.E..
Meat Science. 83 (2009) 4 - p. 627-633 , 2009

Link: https://doi.org/10.1016/..

15

Advanced Nonlinear Approaches for Predicting the Ingredient..:

Pérez-Marín, D. ; Garrido-Varo, A. ; Guerrero, J. E...
Applied Spectroscopy. 62 (2008) 5 - p. 536-541 , 2008

Link: https://doi.org/10.1366/..