| A system for the detailed scheduling of wind farm maintenance A Kovacs, G Erdős, ZJ Viharos, L Monostori CIRP annals 60 (1), 497-501, 2011 | 103 | 2011 |
| Survey on neuro-fuzzy systems and their applications in technical diagnostics and measurement ZJ Viharos, KB Kis Measurement 67, 126-136, 2015 | 88 | 2015 |
| Hybrid, AI-and simulation-supported optimisation of process chains and production plants L Monostori, ZJ Viharos CIRP Annals 50 (1), 353-356, 2001 | 62 | 2001 |
| Training and application of artificial neural networks with incomplete data ZJ Viharos, L Monostori, T Vincze Developments in Applied Artificial Intelligence: 15th International …, 2002 | 57 | 2002 |
| Satisfying various requirements in different levels and stages of machining using one general ANN-based process model L Monostori, V Zs. J., S Markos 15th International Conference on COMPUTER-AIDED PRODUCTION ENGINEERING; CAPE …, 1999 | 55 | 1999 |
| Reinforcement learning for statistical process control in manufacturing ZJ Viharos, R Jakab Measurement 182, 109616, 2021 | 48 | 2021 |
| Traffic speed prediction method for urban networks—An ANN approach A Csikós, ZJ Viharos, KB Kis, T Tettamanti, I Varga 2015 International conference on models and technologies for intelligent …, 2015 | 47 | 2015 |
| Scheduling the maintenance of wind farms for minimizing production loss A Kovács, G Erdös, L Monostori, ZJ Viharos IFAC Proceedings Volumes 44 (1), 14802-14807, 2011 | 42 | 2011 |
| Adaptive, hybrid feature selection (AHFS) ZJ Viharos, KB Kis, Á Fodor, MI Büki Pattern Recognition 116, 107932, 2021 | 40 | 2021 |
| Determination of the working gap and optimal machining parameters for magnetic assisted ball burnishing ZF Kovács, ZJ Viharos, J Kodácsy Measurement 118, 172-180, 2018 | 36 | 2018 |
| Parametric effects of single point incremental forming on hardness of AA1100 aluminium alloy sheets SM Najm, I Paniti, T Trzepieciński, SA Nama, ZJ Viharos, A Jacso Materials 14 (23), 7263, 2021 | 35 | 2021 |
| Non-comparative, Industry 4.0 readiness evaluation for manufacturing enterprises ZJ Viharos, S Soós, GA Nick, T Várgedő, RJ Beregi | 33 | 2017 |
| Design and assessment of quality control loops for stable business processes R Schmitt, L Monostori, H Glöckner, ZJ Viharos CIRP annals 61 (1), 439-444, 2012 | 33 | 2012 |
| Quality-oriented, comprehensive modelling of machining processes S Markos, ZJ Viharos, L Monostori Sixth ISMQC IMEKO symposium on metrology for quality control in production …, 1998 | 33 | 1998 |
| Off-line geometrical and microscopic & on-line vibration based cutting tool wear analysis for micro-milling of ceramics L Móricz, ZJ Viharos, A Németh, A Szépligeti, M Büki Measurement 163, 108025, 2020 | 31 | 2020 |
| Surface flatness and roughness evolution after magnetic assisted ball burnishing of magnetizable and non-magnetizable materials ZF Kovács, ZJ Viharos, J Kodácsy Measurement 158, 107750, 2020 | 31 | 2020 |
| Soft computing and hybrid AI approaches to intelligent manufacturing L Monostori, J Hornyák, C Egresits, ZJ Viharos Tasks and Methods in Applied Artificial Intelligence: 11th International …, 1998 | 29 | 1998 |
| Improvements of surface tribological properties by magnetic assisted ball burnishing ZF Kovacs, ZJ Viharos, J Kodácsy Surface and Coatings Technology 437, 128317, 2022 | 27 | 2022 |
| Automatic input-output configuration and generation of ANN-based process models and their application in machining ZJ Viharos, L Monostori International Conference on Industrial, Engineering and Other Applications …, 1999 | 26 | 1999 |
| ANN-based chip-form classification in turning ZJ Viharos, S Markos, C Szekeres Proceedings of the XVII. IMEKO World Congress–Metrology in the 3rd …, 2003 | 22 | 2003 |
Jozsef VanczaHead of Engineering and Management Intelligence Laboratory, SZTAKIDirección de correo verificada de sztaki.hu