Nicholas Watson

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Coautors

Alexander BowlerUniversity of LeedsCorreu electrònic verificat a leeds.ac.uk
Oliver J. FisherUniversity of NottinghamCorreu electrònic verificat a nottingham.ac.uk
Ahmed RadyTeagasc Food Research Centre, Dublin, IrelandCorreu electrònic verificat a nottingham.ac.uk
Josep Escrigi2catCorreu electrònic verificat a i2cat.net
Elliot WoolleyLoughborough UniversityCorreu electrònic verificat a lboro.ac.uk
Megan J PoveyProfessor of Food Physics, University of LeedsCorreu electrònic verificat a food.leeds.ac.uk
Alessandro SimeonePolitecnico di TorinoCorreu electrònic verificat a polito.it
Edith Corona JiménezBenemérita Universidad Autónoma de PueblaCorreu electrònic verificat a correo.buap.mx
Michael PoundAssociate Professor, University of NottinghamCorreu electrònic verificat a nottingham.ac.uk
Zachary James GloverArla FoodsCorreu electrònic verificat a arlafoods.com
Joel FischerProfessor of Human-Computer Interaction, Mixed Reality Laboratory, School of Computer ScienceCorreu electrònic verificat a nottingham.ac.uk
Shreedhar RangappaHoneywell Technology SolutionsCorreu electrònic verificat a honeywell.com
Samet Ozturk, Ph.DFood Science and Technology, University of GeorgiaCorreu electrònic verificat a uga.edu
Buddhi N. HewakandambyLecturer in Chemical Engineering, The University of Nottingham, Nottingham, UKCorreu electrònic verificat a nottingham.ac.uk
Abbas HasanCorreu electrònic verificat a hull.ac.uk
Becca FerrariUniversity of NottinghamCorreu electrònic verificat a nottingham.ac.uk
Nick ParkerProfessor, School of Mathematics, Statistics & Physics, Newcastle UniversityCorreu electrònic verificat a ncl.ac.uk
Akinbode A. Adedeji PhDAssociate Professor, Biosystems and Agricultural Engr. Dept., University of KentuckyCorreu electrònic verificat a uky.edu
irving israel ruiz lópezProfessor, Benemérita Universidad Autónoma de PueblaCorreu electrònic verificat a correo.buap.mx
Gamaliel Che-GaliciaLaboratory of Chemical Processes and Environmental Remediation, Facultad de Ingeniería Química, BUAPCorreu electrònic verificat a correo.buap.mx

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Nicholas Watson

Professor of Artificial Intelligence in Food, University of Leeds

Correu electrònic verificat a leeds.ac.uk

Machine Learning Digital manufacturing Sensors Industry 4.0 Food Science and Engineering


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	333	2018
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	120	2020
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	111	2020
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	106	2020
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	70	2019
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	66	2022
Monitoring mixing processes using ultrasonic sensors and machine learning AL Bowler, S Bakalis, NJ Watson Sensors 20 (7), 1813, 2020	52	2020
A review of ultrasonic sensing and machine learning methods to monitor industrial processes AL Bowler, MP Pound, NJ Watson Ultrasonics 124, 106776, 2022	50	2022
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	48	2013
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	44	2019
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	40	2023
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	38	2021
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	37	2019
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	31	2016
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	29	2021
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	29	2020
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	26	2020
Intelligent industrial cleaning: A multi sensor approach utilising machine learning-based regression A Simeone, E Woolley, J Escrig, NJ Watson Loughborough University, 2020	26	2020
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	25	2020
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	25	2018

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