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, 3647-3662, 2019 | 131 | 2019 |
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 | 125 | 2018 |
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 | 37 | 2018 |
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 | 29 | 2016 |
Towards an active learning approach to tool condition monitoring with bayesian deep learning G Martinez Arellano, S Ratchev | 17 | 2019 |
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 | 9 | 2014 |
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, 239-253, 2014 | 8 | 2014 |
Short-term wind power forecasting with wrfarw model and genetic programming G Martınez-Arellano, L Nolle Proceedings of the 19th International Conference on Soft Computing MENDEL, 2013 | 8 | 2013 |
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 | 6 | 2022 |
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 | 6 | 2020 |
Genetic programming for wind power forecasting and ramp detection G Martínez-Arellano, L Nolle Research and Development in Intelligent Systems XXX: Incorporating …, 2013 | 5 | 2013 |
Digital Twins and Intelligent Decision Making J Chaplin, G Martinez-Arellano, A Mazzoleni | 4 | 2020 |
Improving WRF-ARW wind speed predictions using genetic programming G Martinez-Arellano, L Nolle, J Bland Research and Development in Intelligent Systems XXIX: Incorporating …, 2012 | 4 | 2012 |
Comparison of simple encoding schemes in GA’s for the motif finding problem: Preliminary results G Martínez-Arellano, CA Brizuela Advances in Bioinformatics and Computational Biology: Second Brazilian …, 2007 | 4 | 2007 |
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, ... Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry …, 2022 | 3 | 2022 |
A data analytics model for improving process control in flexible manufacturing cells G Martínez-Arellano, TB Nguyen, C Hinton, S Ratchev Decision Analytics Journal 3, 100075, 2022 | 3 | 2022 |
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 | 2 | 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 |
A graphical environment to support the development of affordable digital manufacturing solutions Z Ling, L de Silva, G Hawkridge, D McFarlane, G Martínez-Arellano, ... Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry …, 2022 | 1 | 2022 |
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions A Brintrup, G Baryannis, A Tiwari, S Ratchev, G Martinez-Arellano, ... arXiv preprint arXiv:2305.11581, 2023 | | 2023 |