| 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 |
| 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 |
| CARAMEL: results on a secure architecture for connected and autonomous vehicles detecting GPS spoofing attacks C Vitale, N Piperigkos, C Laoudias, G Ellinas, J Casademont, J Escrig, ... EURASIP Journal on Wireless Communications and Networking 2021, 1-28, 2021 | 31 | 2021 |
| 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 | 30 | 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 Sensors 20 (13), 3642, 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 |
| 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 |
| Multi-needle capacitance probe for non-conductive two-phase flows G Monrós-Andreu, R Martinez-Cuenca, S Torró, J Escrig, ... Measurement Science and Technology 27 (7), 074004, 2016 | 13 | 2016 |
| Disruptive situation detection on public transport through speech emotion recognition E Mancini, A Galassi, F Ruggeri, P Torroni Intelligent Systems with Applications 21, 200305, 2024 | 11 | 2024 |
| A data-driven approach for risk exposure analysis in enterprise security A Calvo, S Escuder, J Escrig, M Arias, N Ortiz, J Guijarro 2023 IEEE 10th international conference on data science and advanced …, 2023 | 7 | 2023 |
| & Gomes, RL (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 Computers & Chemical Engineering 140, 106881, 0 | 5 | |
| Influence of geometrical parameters on gas-liquid intermittent flows J Escrig University of Nottingham, 2017 | 4 | 2017 |
| Web bot detection using mouse movement SE Folch, AC Ibáñez, NO Rabella, JE Escrig 2023 JNIC Cybersecurity Conference (JNIC), 1-6, 2023 | 3 | 2023 |
| On the application of q-learning for mobility load balancing in realistic vehicular scenarios MT Ortiz, O Salient, D Camps-Mur, J Escrig, J Nasreddine, ... 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-7, 2023 | 3 | 2023 |
| Influence of Diameter and Inclination of the Pipes on the Velocity of Periodic Structures in Gas-Liquid Intermittent Flows J Escrig, B Hewakandamby, B Azzopardi Proceedings of 9th world conference on experimental heat transfer, fluid …, 2017 | 3 | 2017 |
| Inter-Satellite Link Prediction for Non-Terrestrial Networks Using Supervised Learning E Ferrer, J Escrig, JA Ruiz-de-Azua 2023 Joint European Conference on Networks and Communications & 6G Summit …, 2023 | 2 | 2023 |
| On Alleviating Cell Overload in Vehicular Scenarios M Trullenque, O Sallent, D Camps Mur, J Escrig, C Herranz, J Nasreddine, ... IEEE 96th Vehicular Technology Conference, 2022 | 2 | 2022 |
| Inter-Satellite Link Prediction with Supervised Learning Based on Kepler and SGP4 Orbits E Ferrer, JA Ruiz-De-Azua, F Betorz, J Escrig International Journal of Computational Intelligence Systems 17 (1), 217, 2024 | 1 | 2024 |
