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
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
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
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
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
Genetic programming for wind power forecasting and ramp detection
G Martínez-Arellano, L Nolle
Research and Development in Intelligent Systems XXX: Incorporating …, 2013
Digital Twins and Intelligent Decision Making
J Chaplin, G Martinez-Arellano, A Mazzoleni
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
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
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
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
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
Forecasting wind power for the day-ahead market using numerical weather prediction models and computational intelligence techniques
GM Arellano
PQDT-Global, 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
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
The system can't perform the operation now. Try again later.
Articles 1–20