Theo dõi
Nicholas Watson
Nicholas Watson
Professor of Artificial Intelligence in Food, University of Leeds
Email được xác minh tại leeds.ac.uk
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Cloud manufacturing as a sustainable process manufacturing route
O Fisher, N Watson, L Porcu, D Bacon, M Rigley, RL Gomes
Journal of manufacturing systems 47, 53-68, 2018
3352018
Effect of solvent composition and its interaction with ultrasonic energy on the ultrasound-assisted extraction of phenolic compounds from Mango peels (Mangifera indica L.)
T Martínez-Ramos, J Benedito-Fort, NJ Watson, II Ruiz-López, ...
Food and Bioproducts Processing 122, 41-54, 2020
1202020
A review of in-line and on-line measurement techniques to monitor industrial mixing processes
AL Bowler, S Bakalis, NJ Watson
Chemical Engineering Research and Design 153, 463-495, 2020
1122020
Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems
OJ Fisher, NJ Watson, JE Escrig, R Witt, L Porcu, D Bacon, M Rigley, ...
Computers & Chemical Engineering 140, 106881, 2020
1062020
Thin film thickness measurements in two phase annular flows using ultrasonic pulse echo techniques
YA Al-Aufia, BN Hewakandamby, G Dimitrakis, M Holmes, A Hasan, ...
Flow measurment and Instrumentation 66, 67-78, 2019
702019
Energy management for a net zero dairy supply chain under climate change
MI Malliaroudaki, NJ Watson, R Ferrari, LN Nchari, RL Gomes
Trends in Food Science & Technology 126, 153-167, 2022
662022
Monitoring mixing processes using ultrasonic sensors and machine learning
AL Bowler, S Bakalis, NJ Watson
Sensors 20 (7), 1813, 2020
522020
A review of ultrasonic sensing and machine learning methods to monitor industrial processes
AL Bowler, MP Pound, NJ Watson
Ultrasonics 124, 106776, 2022
512022
Advances in the ultrasound characterization of dry-cured meat products
E Corona, JV Garcia-Perez, TEG Alvarez-Arenas, N Watson, MJW Povey, ...
Journal of Food Engineering 119 (3), 464-470, 2013
492013
The effect of light intensity, sensor height, and spectral pre-processing methods when using NIR spectroscopy to identify different allergen-containing powdered foods
A Rady, J Fischer, S Reeves, B Logan, N James Watson
Sensors 20 (1), 230, 2019
452019
Near-infrared spectroscopy and machine learning for classification of food powders during a continuous process
S Ozturk, A Bowler, A Rady, NJ Watson
Journal of Food Engineering 341, 111339, 2023
442023
Near-infrared spectroscopy and hyperspectral imaging for sugar content evaluation in potatoes over multiple growing seasons
AM Rady, DE Guyer, NJ Watson
Food Analytical Methods 14, 581-595, 2021
382021
Clean-in-place monitoring of different food fouling materials using ultrasonic measurements
J Escrig, E Woolley, S Rangappa, A Simeone, NJ Watson
Food Control 104, 358-366, 2019
372019
A multi-sensor approach for fouling level assessment in clean-in-place processes
A Simeone, N Watson, I Sterritt, E Woolley
Procedia Cirp 55, 134-139, 2016
312016
Intelligent sensors for sustainable food and drink manufacturing
NJ Watson, AL Bowler, A Rady, OJ Fisher, A Simeone, J Escrig, ...
Frontiers in Sustainable Food Systems 5, 642786, 2021
292021
Monitoring the cleaning of food fouling in pipes using ultrasonic measurements and machine learning
J Escrig, E Woolley, A Simeone, NJ Watson
Food Control 116, 107309, 2020
292020
Ultrasonic measurements and machine learning for monitoring the removal of surface fouling during clean-in-place processes
JE Escrig, A Simeone, E Woolley, S Rangappa, A Rady, NJ Watson
Food and bioproducts processing 123, 1-13, 2020
262020
Intelligent industrial cleaning: A multi sensor approach utilising machine learning-based regression
A Simeone, E Woolley, J Escrig, NJ Watson
Loughborough University, 2020
262020
Intelligent resource use to deliver waste valorisation and process resilience in manufacturing environments: Moving towards sustainable process manufacturing
OJ Fisher, NJ Watson, JE Escrig, RL Gomes
Johnson Matthey Technology Review 64 (1), 93-99, 2020
252020
Enhanced clean-in-place monitoring using ultraviolet induced fluorescence and neural networks
A Simeone, B Deng, N Watson, E Woolley
Sensors 18 (11), 3742, 2018
252018
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