| In-process tool wear prediction system based on machine learning techniques and force analysis A Gouarir, G Martínez-Arellano, G Terrazas, P Benardos, S Ratchev Procedia CIRP 77, 501-504, 2018 | 88 | 2018 |
| Tool wear classification using time series imaging and deep learning G Martínez-Arellano, G Terrazas, S Ratchev The International Journal of Advanced Manufacturing Technology 104 (9), 3647 …, 2019 | 81 | 2019 |
| Creating AI characters for fighting games using genetic programming G Martinez-Arellano, R Cant, D Woods IEEE transactions on computational intelligence and Ai in games 9 (4), 423-434, 2016 | 28 | 2016 |
| Online tool wear classification during dry machining using real time cutting force measurements and a CNN approach G Terrazas, G Martínez-Arellano, P Benardos, S Ratchev Journal of Manufacturing and Materials Processing 2 (4), 72, 2018 | 23 | 2018 |
| Towards an active learning approach to tool condition monitoring with bayesian deep learning G Martinez Arellano, S Ratchev | 14 | 2019 |
| Characterisation of large changes in wind power for the day-ahead market using a fuzzy logic approach G Martínez-Arellano, L Nolle, R Cant, A Lotfi, C Windmill KI-Künstliche Intelligenz 28 (4), 239-253, 2014 | 8 | 2014 |
| Prediction of jet engine parameters for control design using genetic programming GM Arellano, R Cant, L Nolle 2014 UKSim-AMSS 16th International Conference on Computer Modelling and …, 2014 | 8 | 2014 |
| Short-term wind power forecasting with WRF-ARW model and genetic programming G Martinez-Arellano, L Nolle Proc. Int. Conf. Soft Computing, 2013 | 8 | 2013 |
| Genetic programming for wind power forecasting and ramp detection G Martínez-Arellano, L Nolle International Conference on Innovative Techniques and Applications of …, 2013 | 4 | 2013 |
| Improving WRF-ARW wind speed predictions using genetic programming G Martinez-Arellano, L Nolle, J Bland International Conference on Innovative Techniques and Applications of …, 2012 | 4 | 2012 |
| Comparison of simple encoding schemes in GA’s for the motif finding problem: Preliminary results G Martínez-Arellano, CA Brizuela Brazilian Symposium on Bioinformatics, 22-33, 2007 | 4 | 2007 |
| XOR Binary Gravitational Search Algorithm with Repository: Industry 4.0 Applications M Ahmadieh Khanesar, R Bansal, G Martínez-Arellano, DT Branson Applied Sciences 10 (18), 6451, 2020 | 3 | 2020 |
| Forecasting wind power for the day-ahead market using numerical weather prediction models and computational intelligence techniques GM Arellano PQDT-Global, 2015 | 2 | 2015 |
| Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions G Martínez-Arellano, MJ McNally, JC Chaplin, Z Ling, D McFarlane, ... International Workshop on Service Orientation in Holonic and Multi-Agent …, 2022 | 1 | 2022 |
| Digital Twins and Intelligent Decision Making J Chaplin, G Martinez-Arellano, A Mazzoleni | 1 | 2020 |
| Towards Flexible, Fault Tolerant Hardware Service Wrappers for the Digital Manufacturing on a Shoestring Project MJ McNally, JC Chaplin, G Martinez-Arellano, S Ratchev IFAC-PapersOnLine 53 (3), 72-77, 2020 | 1 | 2020 |
| A data analytics model for improving process control in flexible manufacturing cells G Martínez-Arellano, TB Nguyen, C Hinton, S Ratchev Decision Analytics Journal, 100075, 2022 | | 2022 |
| A Graphical Environment to Support the Development of Affordable Digital Manufacturing Solutions Z Ling, L de Silva, G Hawkridge, D McFarlane, G Martínez-Arellano, ... International Workshop on Service Orientation in Holonic and Multi-Agent …, 2022 | | 2022 |
| Towards Modular and Plug-and-Produce Manufacturing Apps A Torayev, G Martínez-Arellano, JC Chaplin, D Sanderson, S Ratchev Procedia CIRP 107, 1257-1262, 2022 | | 2022 |
| Data Capture and Visualisation on a Shoestring: Demonstrating the Digital Manufacturing on a Shoestring Project MJ McNally, JC Chaplin, G Martínez-Arellano, S Ratchev International Precision Assembly Seminar, 200-209, 2020 | | 2020 |
