Giovanna Martinez Arellano
Giovanna Martinez Arellano
Anne McLaren Research Fellow University of Nottingham
Verified email at
Cited by
Cited by
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
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
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
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
Towards an active learning approach to tool condition monitoring with bayesian deep learning
G Martinez Arellano, S Ratchev
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
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
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
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
Short-term wind power forecasting with WRF-ARW model and genetic programming
G Martinez-Arellano, L Nolle
Proc. Int. Conf. Soft Computing, 2013
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
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
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
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 …, 2021
Digital twins and intelligent decision making
JC Chaplin, G Martinez-Arellano, A Mazzoleni
DIGITAL MANUFACTURING FOR SMEs-An Introduction. Digital Manufacturing …, 2020
Genetic programming for wind power forecasting and ramp detection
G Martínez-Arellano, L Nolle
International Conference on Innovative Techniques and Applications of …, 2013
Semantic models and knowledge graphs as manufacturing system reconfiguration enablers
F Mo, JC Chaplin, D Sanderson, G Martínez-Arellano, S Ratchev
Robotics and Computer-Integrated Manufacturing 86, 102625, 2024
Capacity modelling and measurement for smart elastic manufacturing systems
B Elshafei, F Mo, JC Chaplin, GM Arellano, S Ratchev
SAE Technical Paper, 2023
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
Classification of cancer cells at the sub-cellular level by phonon microscopy using deep learning
F Pérez-Cota, G Martínez-Arellano, S La Cavera III, W Hardiman, ...
Scientific Reports 13 (1), 16228, 2023
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