Andres Bustillo
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Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface
S Omatu, MP Rocha, J Bravo, F Fernandez, E Corchado, A Bustillo, ...
Lecture Notes in Computer Science (including subseries Lecture Notes in …, 0
An SVM-based solution for fault detection in wind turbines
P Santos, LF Villa, A Reñones, A Bustillo, J Maudes
Sensors 15 (3), 5627-5648, 2015
Predicting tool life in turning operations using neural networks and image processing
T Mikołajczyk, K Nowicki, A Bustillo, DY Pimenov
Mechanical Systems and Signal Processing 104, 503-513, 2018
Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth
DY Pimenov, A Bustillo, T Mikolajczyk
Journal of Intelligent Manufacturing 29 (5), 1045-1061, 2018
Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process
A Gajate, R Haber, R Del Toro, P Vega, A Bustillo
Journal of Intelligent Manufacturing 23 (3), 869-882, 2012
A review of immersive virtual reality serious games to enhance learning and training
D Checa, A Bustillo
Multimedia Tools and Applications 79 (9), 5501-5527, 2020
Using artificial neural networks for the prediction of dimensional error on inclined surfaces manufactured by ball-end milling
Á Arnaiz-González, A Fernández-Valdivielso, A Bustillo, LNL de Lacalle
The International Journal of Advanced Manufacturing Technology 83 (5-8), 847-859, 2016
Identifying maximum imbalance in datasets for fault diagnosis of gearboxes
P Santos, J Maudes, A Bustillo
Journal of Intelligent Manufacturing 29 (2), 333-351, 2018
A flexible platform for the creation of 3D semi-immersive environments to teach cultural heritage
A Bustillo, M Alaguero, I Miguel, JM Saiz, LS Iglesias
Digital Applications in Archaeology and Cultural Heritage 2 (4), 248-259, 2015
Modeling pulsed laser micromachining of micro geometries using machine-learning techniques
D Teixidor, M Grzenda, A Bustillo, J Ciurana
Journal of Intelligent Manufacturing 26 (4), 801-814, 2015
Using artificial intelligence models for the prediction of surface wear based on surface isotropy levels
A Bustillo, DY Pimenov, M Matuszewski, T Mikolajczyk
Robotics and Computer-Integrated Manufacturing 53, 215-227, 2018
Using artificial intelligence to predict surface roughness in deep drilling of steel components
A Bustillo, M Correa
Journal of Intelligent Manufacturing 23 (5), 1893-1902, 2012
Avoiding neural network fine tuning by using ensemble learning: application to ball-end milling operations
A Bustillo, JF Díez-Pastor, G Quintana, C García-Osorio
The International Journal of Advanced Manufacturing Technology 57 (5), 521-532, 2011
Effect of the Relative Position of the Face Milling Tool towards the Workpiece on Machined Surface Roughness and Milling Dynamics
DY Pimenov, A Hassui, S Wojciechowski, M Mia, A Magri, DI Suyama, ...
Applied Sciences 9 (5), 842, 2019
Smart optimization of a friction-drilling process based on boosting ensembles
A Bustillo, G Urbikain, JM Perez, OM Pereira, LNL de Lacalle
Journal of Manufacturing Systems 48, 108-121, 2018
The evolutionary development of roughness prediction models
M Grzenda, A Bustillo
Applied Soft Computing 13 (5), 2913-2922, 2013
A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling
M Grzenda, A Bustillo, P Zawistowski
Journal of Intelligent Manufacturing 23 (5), 1733-1743, 2012
Online breakage detection of multitooth tools using classifier ensembles for imbalanced data
A Bustillo, JJ Rodríguez
International Journal of Systems Science 45 (12), 2590-2602, 2014
Modelling of process parameters in laser polishing of steel components using ensembles of regression trees
A Bustillo, E Ukar, JJ Rodriguez, A Lamikiz
International Journal of Computer Integrated Manufacturing 24 (8), 735-747, 2011
Advantages and limits of virtual reality in learning processes: Briviesca in the fifteenth century
D Checa, A Bustillo
Virtual Reality 24 (1), 151-161, 2020
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