Nicholas James Watson

According to our database, Nicholas James Watson authored at least 9 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AI-Assisted Cotton Grading: Active and Semi-Supervised Learning to Reduce the Image-Labelling Burden.

Oliver J. Fisher, Ahmed M. Rady, Aly A. A. El-Banna, Haitham H. Emaish, Nicholas James Watson

Sensors, October, 2023

2022

Domain Adaptation for In-Line Allergen Classification of Agri-Food Powders Using Near-Infrared Spectroscopy.

Alexander Lewis Bowler, Samet Öztürk, Ahmed M. Rady, Nicholas James Watson

Sensors, 2022

2021

Convolutional feature extraction for process monitoring using ultrasonic sensors.

Alexander L. Bowler, Michael P. Pound, Nicholas James Watson

Comput. Chem. Eng., 2021

2020

Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression.

Alessandro Simeone, Elliot Woolley, Josep Escrig, Nicholas James Watson

Sensors, 2020

The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods When Using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods.

Ahmed M. Rady, Joel E. Fischer, Stuart Reeves, Brian Logan, Nicholas James Watson

Sensors, 2020

Monitoring Mixing Processes Using Ultrasonic Sensors and Machine Learning.

Alexander L. Bowler, Serafim Bakalis, Nicholas James Watson

Sensors, 2020

Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems.

Oliver J. Fisher, Nicholas James Watson, Josep Escrig, Rob Witt, Laura Porcu, Darren Bacon, Martin Rigley, Rachel L. Gomes

Comput. Chem. Eng., 2020

2018

Enhanced Clean-In-Place Monitoring Using Ultraviolet Induced Fluorescence and Neural Networks.

Alessandro Simeone, Bin Deng, Nicholas James Watson, Elliot Woolley

Sensors, 2018

2016

Development of a discrete element model with moving realistic geometry to simulate particle motion in a Mi-Pro granulator.

Nicholas James Watson, M. J. W. Povey, G. K. Reynolds, Yulong Ding, B. H. Xu

Comput. Chem. Eng., 2016