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Dr. Marion O'Farrell
Dr. Marion O'Farrell
Research Manager at Smart Sensor Systems, SINTEF Digital, Norway
Verified email at sintef.no - Homepage
Title
Cited by
Cited by
Year
On-line determination and control of fat content in batches of beef trimmings by NIR imaging spectroscopy
JP Wold, M O'Farrell, M Hy, J Tschudi
Meat science 89 (3), 317-324, 2011
892011
Combining principal component analysis with an artificial neural network to perform online quality assessment of food as it cooks in a large-scale industrial oven
M O’farrell, E Lewis, C Flanagan, WB Lyons, N Jackman
Sensors and Actuators B: Chemical 107 (1), 104-112, 2005
592005
The use of mel-frequency cepstral coefficients in musical instrument identification
R Loughran, J Walker, M O'Neill, M O'Farrell
ICMC, 2008
582008
Ice fraction assessment by near-infrared spectroscopy enhancing automated superchilling process lines
AM Stevik, AS Duun, T Rustad, M O’Farrell, H Schulerud, S Ottestad
Journal of Food Engineering 100 (1), 169-177, 2010
572010
Principal component analysis and artificial neural network based approach to analysing optical fibre sensors signals
E Lewis, C Sheridan, M O’Farrell, D King, C Flanagan, WB Lyons, ...
Sensors and Actuators A: Physical 136 (1), 28-38, 2007
542007
Comparison of k-NN and neural network methods in the classification of spectral data from an optical fibre-based sensor system used for quality control in the food industry
M O’farrell, E Lewis, C Flanagan, W Lyons, N Jackman
Sensors and Actuators B: Chemical 111, 354-362, 2005
542005
On-line fat content classification of inhomogeneous pork trimmings using multispectral near infrared interactance imaging
M O'Farrell, JP Wold, M Hy, J Tschudi, H Schulerud
Journal of Near Infrared Spectroscopy 18 (2), 135-145, 2010
412010
Design of a system that uses optical-fiber sensors and neural networks to control a large-scale industrial oven by monitoring the food quality online
M O'Farrell, E Lewis, C Flanagan, WB Lyons, N Jackman
IEEE sensors Journal 5 (6), 1407-1420, 2005
312005
A comparison of CIE L* a* b* and spectral methods for the analysis of fading in sliced cured ham
C Sheridan, M O’Farrell, E Lewis, C Flanagan, J Kerry, N Jackman
Journal of Optics A: Pure and Applied Optics 9 (6), S32, 2007
302007
The potential for predicting purge in packaged meat using low field NMR
H Zhu, M O’Farrell, EW Hansen, PV Andersen, P Berg, B Egelandsdal
Journal of Food Engineering 206, 98-105, 2017
232017
In-line and non-destructive monitoring of core temperature in sausages during industrial heat treatment by NIR interaction spectroscopy
JP Wold, M O'farrell, J Tschudi, CE Eskildsen, PV Andersen, S Ottestad
Journal of Food Engineering 277, 109921, 2020
202020
Near-infrared (NIR) interactance system for non-contact monitoring of the temperature profile of baked liver pt
M O'Farrell, KAH Bakke, J Tschudi, JP Wold
Applied Spectroscopy 65 (12), 1372-1379, 2011
172011
Musical instrument identification using principal component analysis and multi-layered perceptrons
R Loughran, J Walker, M O'Neill, M O'Farrell
2008 International Conference on Audio, Language and Image Processing, 643-648, 2008
162008
Evaluating nuclear magnetic resonance (NMR) as a robust reference method for online spectroscopic measurement of water holding capacity (WHC)
H Zhu, M O'Farrell, G Bouquet, K Lunde, B Egelandsdal, O Alvseike, ...
Journal of Food Engineering 175, 51-57, 2016
152016
Inline spectroscopy: From concept to function
J Tschudi, M O'Farrell, KA Hestnes Bakke
Applied Spectroscopy 72 (9), 1298-1309, 2018
142018
Using a reflection-based optical fibre system and Neural Networks to evaluate the quality of food in a large-scale industrial oven
M O’Farrell, E Lewis, C Flanagan, WB Lyons, N Jackman
Sensors and Actuators A: Physical 115 (2-3), 424-433, 2004
122004
Optimization of instrument design for in-line monitoring of dry matter content in single potatoes by NIR interaction spectroscopy
JP Wold, M O’Farrell, PV Andersen, J Tschudi
Foods 10 (4), 828, 2021
112021
Meat factory cell–a concept for the future?
O Alvseike, H Sverdvik, M O’Farrell, P Berg
63rd international congress of meat science and technology, 494-495, 2017
112017
Optical fibre sensors for assessing food quality in full scale production ovens—a principal component analysis and artificial neural network based approach
E Lewis, C Sheridan, M O’Farrell, C Flanagan, JF Kerry, N Jackman
Nonlinear Analysis: Hybrid Systems 2 (1), 51-57, 2008
102008
Monitoring food quality using an optical fibre based sensor system—a comparison of Kohonen and back-propagation neural network classification techniques
C Sheridan, M O'Farrell, E Lewis, WB Lyons, C Flanagan, N Jackman
Measurement Science and Technology 17 (2), 229, 2005
102005
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