| 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 | 348 | 2020 |
| 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 | 195 | 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 | 159 | 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 | 153 | 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 | 104 | 2012 |
| 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, ... The International Journal of Advanced Manufacturing Technology 83 (5), 847-859, 2016 | 95 | 2016 |
| 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 | 76 | 2020 |
| 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 | 70 | 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 | 70 | 2015 |
| 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 | 66 | 2018 |
| 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 | 65 | 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 | 63 | 2018 |
| Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth A Bustillo, DY Pimenov, M Mia, W Kapłonek Journal of Intelligent Manufacturing 32 (3), 895-912, 2021 | 61 | 2021 |
| 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 | 59 | 2019 |
| Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review DY Pimenov, A Bustillo, S Wojciechowski, VS Sharma, MK Gupta, ... Journal of Intelligent Manufacturing, 1-43, 2022 | 56 | 2022 |
| 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 | 54 | 2012 |
| A machine-learning based solution for chatter prediction in heavy-duty milling machines I Oleaga, C Pardo, JJ Zulaika, A Bustillo Measurement 128, 34-44, 2018 | 50 | 2018 |
| 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 | 49 | 2011 |
| Improving the accuracy of machine-learning models with data from machine test repetitions A Bustillo, R Reis, AR Machado, DY Pimenov Journal of Intelligent Manufacturing 33 (1), 203-221, 2022 | 43 | 2022 |
| The evolutionary development of roughness prediction models M Grzenda, A Bustillo Applied Soft Computing 13 (5), 2913-2922, 2013 | 38 | 2013 |
David ChecaUniversidad de Burgos, Departamento ingeniería informáticaVerified email at ubu.es
