Nicholas James Watson

Orcid: 0000-0001-5216-4873

According to our database1, Nicholas James Watson authored at least 15 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Decision-Focused Learning Enhanced by Automated Feature Engineering for Energy Storage Optimisation.
Expert Syst. Appl., 2026

2025
AI for Sustainable Future Foods.
CoRR, September, 2025

AutoEnergy: An automated feature engineering algorithm for energy consumption forecasting with AutoML.
Knowl. Based Syst., 2025

2024
Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities.
IEEE Access, 2024

Exploring Automated Feature Engineering for Energy Consumption Forecasting with AutoML.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

2023
AI-Assisted Cotton Grading: Active and Semi-Supervised Learning to Reduce the Image-Labelling Burden.
Sensors, October, 2023

"They're not going to do all the tasks we do": Understanding Trust and Reassurance towards a UV-C Disinfection Robot.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

2022
Domain Adaptation for In-Line Allergen Classification of Agri-Food Powders Using Near-Infrared Spectroscopy.
Sensors, 2022

2021
Convolutional feature extraction for process monitoring using ultrasonic sensors.
Comput. Chem. Eng., 2021

2020
Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression.
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.
Sensors, 2020

Monitoring Mixing Processes Using Ultrasonic Sensors and Machine Learning.
Sensors, 2020

Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems.
Comput. Chem. Eng., 2020

2018
Enhanced Clean-In-Place Monitoring Using Ultraviolet Induced Fluorescence and Neural Networks.
Sensors, 2018

2016
Development of a discrete element model with moving realistic geometry to simulate particle motion in a Mi-Pro granulator.
Comput. Chem. Eng., 2016


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