| 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 |
| Monitoring mixing processes using ultrasonic sensors and machine learning AL Bowler, S Bakalis, NJ Watson Sensors 20 (7), 1813, 2020 | 53 | 2020 |
| A review of ultrasonic sensing and machine learning methods to monitor industrial processes AL Bowler, MP Pound, NJ Watson Ultrasonics 124, 106776, 2022 | 48 | 2022 |
| 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 | 39 | 2023 |
| 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 | 31 | 2021 |
| Predicting alcohol concentration during beer fermentation using ultrasonic measurements and machine learning A Bowler, J Escrig, M Pound, N Watson Fermentation 7 (1), 34, 2021 | 23 | 2021 |
| Optimised mode selection in electromagnetic sensors for real time, continuous and in-situ monitoring of water cut in multi-phase flow systems C Yuan, A Bowler, JG Davies, B Hewakandamby, G Dimitrakis Sensors and Actuators B: Chemical 298, 126886, 2019 | 23 | 2019 |
| Transfer learning for process monitoring using reflection-mode ultrasonic sensing AL Bowler, NJ Watson Ultrasonics 115, 106468, 2021 | 17 | 2021 |
| Domain adaptation and federated learning for ultrasonic monitoring of beer fermentation AL Bowler, MP Pound, NJ Watson Fermentation 7 (4), 253, 2021 | 14 | 2021 |
| A surrogate model for the economic evaluation of renewable hydrogen production from biomass feedstocks via supercritical water gasification S Rodgers, A Bowler, L Wells, CS Lee, M Hayes, S Poulston, E Lester, ... International Journal of Hydrogen Energy 49, 277-294, 2024 | 9 | 2024 |
| Convolutional feature extraction for process monitoring using ultrasonic sensors A Bowler, M Pound, N Watson Computers & Chemical Engineering 155, 107508, 2021 | 8 | 2021 |
| Domain adaptation for in-line allergen classification of agri-food powders using near-infrared spectroscopy AL Bowler, S Ozturk, A Rady, N Watson Sensors 22 (19), 7239, 2022 | 7 | 2022 |
| Machine learning and domain adaptation to monitor yoghurt fermentation using ultrasonic measurements A Bowler, S Ozturk, V di Bari, ZJ Glover, NJ Watson Food Control 147, 109622, 2023 | 6 | 2023 |
| Development of an open-source carbon footprint calculator of the UK craft brewing value chain AL Bowler, S Rodgers, F Meng, J McKechnie, DJ Cook, NJ Watson Journal of Cleaner Production 435, 140181, 2024 | 5 | 2024 |
| Probabilistic commodity price projections for unbiased techno-economic analyses S Rodgers, A Bowler, F Meng, S Poulston, J McKechnie, A Conradie Engineering Applications of Artificial Intelligence 122, 106065, 2023 | 3 | 2023 |
| Bayesian and ultrasonic sensor aided multi-objective optimisation for sustainable clean-in-place processes AL Bowler, S Rodgers, DJ Cook, NJ Watson Food and Bioproducts Processing 141, 23-35, 2023 | 1 | 2023 |
| Embedding AI-Enabled Data Infrastructures for Sustainability in Agri-Food: Soft-Fruit and Brewery Use Case Perspectives M Markovic, A Li, TA Ayall, NJ Watson, AL Bowler, M Woods, P Edwards, ... Sensors 24 (22), 7327, 2024 | | 2024 |
| Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities N Alkhulaifi, AL Bowler, D Pekaslanc, G Serdaroglu, S Closs, NJ Watson, ... IEEE Access, 2024 | | 2024 |
| Exploring Automated Feature Engineering for Energy Consumption Forecasting with AutoML N Alkhulaifi, AL Bowler, D Pekaslan, I Triguero, NJ Watson 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2024 | | 2024 |
| Ultrasonic measurements and machine learning methods to monitor industrial processes A Bowler University of Nottingham, 2023 | | 2023 |
