| 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 | 709 | 2020 |
| 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 34 (5), 2079-2121, 2023 | 252 | 2023 |
| 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 | 240 | 2015 |
| 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 | 213 | 2018 |
| 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 | 210 | 2018 |
| 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 | 145 | 2020 |
| 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 | 115 | 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 | 104 | 2016 |
| Immersive virtual-reality computer-assembly serious game to enhance autonomous learning D Checa, I Miguel-Alonso, A Bustillo Virtual Reality 27 (4), 3301-3318, 2023 | 95 | 2023 |
| 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 | 93 | 2021 |
| 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 | 93 | 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 | 89 | 2015 |
| 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 | 84 | 2019 |
| 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 | 83 | 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 | 78 | 2015 |
| 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 | 76 | 2022 |
| 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 | 74 | 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 | 62 | 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 | 61 | 2018 |
| Countering the Novelty Effect: A Tutorial for Immersive Virtual Reality Learning Environments I Miguel-Alonso, B Rodriguez-Garcia, D Checa, A Bustillo Applied Sciences 13 (1), 593, 2023 | 52 | 2023 |
David ChecaUniversidad de Burgos, Departamento ingeniería informáticaDirección de correo verificada de ubu.es
