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Nicholas James Watson

Observed names: N G Watson, N J Watson, N Watson, N. Watson, N.J. Watson, Nicholas J Watson, Nicholas J. Watson, Nicholas Watson, Nik Watson, Watson, Nicholas J., watson, nicholas
Institution: University of Leeds
ORCID: 0000-0001-5216-4873
Observed ORCID: 0000-0001-5216-4873
OpenAlex ID: A5077837312
Cloud manufacturing as a sustainable process manufacturing route
2018 · Oliver Fisher, Nicholas Watson, et al. · Journal of Manufacturing Systems · 282
Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review
2025 · Chen Yang, Zhiming Guo, et al. · Journal of Agricultural and Food Chemistry · 154
Effect of solvent composition and its interaction with ultrasonic energy on the ultrasound-assisted extraction of phenolic compounds from Mango peels (Mangifera indica L.)
2020 · Tania Martínez-Ramos, José Benedito-Fort, et al. · Food and Bioproducts Processing · 147
A review of in-line and on-line measurement techniques to monitor industrial mixing processes
2019 · Alexander Lewis Bowler, Serafim Bakalis, et al. · Process Safety and Environmental Protection · 122
Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems
2020 · Oliver J Fisher, Nicholas J Watson, et al. · Computers & Chemical Engineering · 117
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A review of ultrasonic sensing and machine learning methods to monitor industrial processes
2022 · Alexander L. Bowler, Michael P. Pound, et al. · Ultrasonics · 105
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Artificial intelligence for prediction of shelf-life of various food products: Recent advances and ongoing challenges
2025 · Mahdi Rashvand, Yuqiao Ren, et al. · Trends in Food Science & Technology · 98
Energy management for a net zero dairy supply chain under climate change
2022 · Maria Ioanna Malliaroudaki, Nicholas J. Watson, et al. · Trends in Food Science & Technology · 86
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Thin film thickness measurements in two phase annular flows using ultrasonic pulse echo techniques
2019 · Y.A. Al-Aufi, B.N. Hewakandamby, et al. · Flow Measurement and Instrumentation · 78
Near-infrared spectroscopy and machine learning for classification of food powders during a continuous process
2022 · Samet Ozturk, Alexander Bowler, et al. · Journal of Food Engineering · 75
Monitoring Mixing Processes Using Ultrasonic Sensors and Machine Learning
2020 · Alexander L. Bowler, Serafim Bakalis, et al. · Sensors · 56
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Intelligent Sensors for Sustainable Food and Drink Manufacturing
2021 · Nicholas J. Watson, Alexander L. Bowler, et al. · Frontiers in Sustainable Food Systems · 50
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Predicting Alcohol Concentration during Beer Fermentation Using Ultrasonic Measurements and Machine Learning
2021 · Alexander Bowler, Josep Escrig, et al. · Fermentation · 43
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Monitoring the cleaning of food fouling in pipes using ultrasonic measurements and machine learning
2020 · J. Escrig, E. Woolley, et al. · Food Control · 43
Clean-in-place monitoring of different food fouling materials using ultrasonic measurements
2019 · J. Escrig, E. Woolley, et al. · Food Control · 42
The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods When Using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods
2019 · Ahmed Rady, Joel Fischer, et al. · Sensors · 41
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Near-infrared Spectroscopy and Hyperspectral Imaging for Sugar Content Evaluation in Potatoes over Multiple Growing Seasons
2020 · Ahmed M Rady, Daniel E Guyer, et al. · Food Analytical Methods · 40
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Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression
2020 · Alessandro Simeone, Elliot Woolley, et al. · Sensors · 40
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Dynamic Nondestructive Detection Models of Apple Quality in Critical Harvest Period Based on Near-Infrared Spectroscopy and Intelligent Algorithms
2024 · Zhiming Guo, Xuan Chen, et al. · Foods · 39
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Ultrasonic measurements and machine learning for monitoring the removal of surface fouling during clean-in-place processes
2020 · J. Escrig Escrig, A. Simeone, et al. · Food and Bioproducts Processing · 39
Advances in the ultrasound characterization of dry-cured meat products
2013 · Edith Corona, Jose V. Garcia-Perez, et al. · Journal of Food Engineering · 36
Machine learning and domain adaptation to monitor yoghurt fermentation using ultrasonic measurements
2023 · Alexander Bowler, Samet Ozturk, et al. · Food Control · 32
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Feasibility of utilizing color imaging and machine learning for adulteration detection in minced meat
2021 · Ahmed M. Rady, Akinbode Adedeji, et al. · Journal of Agriculture and Food Research · 32
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Intelligent Resource Use to Deliver Waste Valorisation and Process Resilience in Manufacturing Environments
2019 · Oliver J. Fisher, Nicholas J. Watson, et al. · Johnson Matthey Technology Review · 28
Post-processing of polymer foam tissue scaffolds with high power ultrasound: A route to increased pore interconnectivity, pore size and fluid transport
2013 · N.J. Watson, R.K. Johal, et al. · Materials Science and Engineering C · 28
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Works count: 94
Citation count: 2,328
H-index: 25
I10-index: 45
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