photo - Zsolt Janos Viharos
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Curriculum Vitae
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   Publications

 
  1. Nagy, Á; Dombi, ; Fülep, M. P.; Rudics, E; Hompoth, E. A.; Szabó, Z.; Dér, A.; Búzás, A.; Viharos, Zs. J.; Hoang, A. T.; Maczák, B.; Vadai, G.; Gingl, Z.; László, S.; Bilicki, V.; Szendi, I.: The Actigraphy-Based Identification of Premorbid Latent Liability of Schizophrenia and Bipolar Disorder, Sensors (Basel), 2023 Jan 14; Vol. 23 Vol. (2), 958. (doi: 10.3390/s23020958, PMID: 36679755; PMCID: PMC9863012). (SCI, Impact Factor: 3.9) [pdf, WoS]
  2. Hoang, A. T.; Viharos, Z. J.: IDENAS: Internal Dependency Exploration for Neural Architecture Search, arXiv:2310.17250 [cs.LG], 2023, https://doi.org/10.48550/arXiv.2310.17250 [pdf]
  3. Gyulai, T ; Wolf, P ; Kása, F ; Viharos, Zs. J.: Learning Factories towards Industry 5.0: Evolutionary or Revolutionary?, 19th IMEKO TC10 Conference “MACRO meets NANO in Measurement for Diagnostics, Optimization and Control”, Delft, The Netherlands, September 21–22, 2023, (DOI: http://dx.doi.org/10.21014/tc10-2023.017) [pdf]
  4. Viharos Zs. J.; Ciani, L. ; Bilski, P.: Proceedings of the 19th IMEKO TC10 Conference “MACRO meets NANO in Measurement for Diagnostics, Optimization and Control” Delft, Delft, The Netherlands, September 21–22, 2023, International Measurement Confederation (IMEKO), 134 p., 2023, ISBN: 9789299009048
  5. Gyulai, T.; Viharos, Zs. J.; Kása, F.; Wolf, P.: Upskilling SME Workforce by Learning Factories, Proceedings of the 13th Conference on Learning Factories (CLF 2023), Reutlingen University, Germany, 9-11 May, 2023, [https://ssrn.com/abstract=4469802, http://dx.doi.org/10.2139/ssrn.4469802]
  6. Tóth, Sz. H.; Bárdos, Á.; Viharos, Zs. J.: Tabular Q-learning Based Reinforcement Learning Agent for Autonomous Vehicle Drift Initiation and Stabilization, IFAC World Congress 2023, Yokohama, JAPAN, IFAC-PapersOnLine, Volume 56, Issue 2, 2023, pp. 4896-4903. (DOI: https://doi.org/10.1016/j.ifacol.2023.10.1261) [pdf]
  7. Cserteg, T.; Hoang, A. T.; Kis, K. B.; Csempesz, J.; Viharos, Zs. J.: Piktor-O-bot: The Robotic face-Drawing Solution, ERCIM NEWS, EUROPEAN RESEARCH CONSORTIUM INFORMATICS & MATHEMATICS, Vol.132, pp. 23-24., 2023. [pdf, WoS]
  8. Hoang, A. T.; Viharos, Zs. J.: Novel Deep Neural Architecture Search Algorithm for Human Activity Recognition, ERCIM NEWS, EUROPEAN RESEARCH CONSORTIUM INFORMATICS & MATHEMATICS, Vol.132, pp. 30-31., 2023. [pdf, WoS]
  9. Patkos, T.; Viharos, Zs. J.: Cognitive AI & Cobots - Introduction to the Special Theme, ERCIM NEWS, EUROPEAN RESEARCH CONSORTIUM INFORMATICS & MATHEMATICS, Vol.132, pp. 6-7., 2023. [pdf]
  10. Viharos, Z. J.; Szűcs, Á.: Self-Adaptive, Dynamic, Integrated Statistical and Information Theory Learning, arXiv:2211.11491v1 [cs.LG], 2022, https://doi.org/10.48550/arXiv.2211.11491 [pdf]
  11. Kovács, Z. F.; Viharos, Z. J.; Kodácsy, J.: Improvements of surface tribological properties by magnetic assisted ball burnishing, Surface & Coatings Technology, Elsevier, Vol. 437., 2022, ID: 128317, doi: https://doi.org/10.1016/j.surfcoat.2022.128317. (SCI, Impact Factor: 4.865) [pdf]
  12. Tóth Sz. H.; Bárdos, Á.; Viharos, Zs. J.: Initiation and Stabilization of Drifting Motion of a Self-driving Vehicle with a Reinforcement Learning Agent, The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022, Budapest, Hungary, March 31, 2022, pp. 53-57, doi: 10.3311/BMEZalaZONE2022-011 [pdf]
  13. Tóth Sz. H.; Viharos, Zs. J.; Bárdos, Á.: Autonomous Vehicle Drift With a Soft Actor-critic Reinforcement Learning Agent, 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI), Poprad, Slovakia, March 2-5, 2022, pp. 000015-000020, doi: 10.1109/SAMI54271.2022.9780803 [pdf]
  14. Móricz, L.; Viharos, Z. J.: Vibration Based Cutting Tool Path Differentiation by Feature Selection,The 18th IMEKO TC10 Conference on Measurement for Diagnostics, Optimisation and Control to Support Sustainability and Resilience, Warsaw, Poland, September 26–27, 2022, ISBN 978-92-990090-0-0, pp. 129-136 [XXX]
  15. Gyulai, T.; Wolf, P.; Kása, F.; Viharos, Z. J.: Operational Structure for an Industry 4.0 oriented Learning Factory, The 18th IMEKO TC10 Conference on Measurement for Diagnostics, Optimisation and Control to Support Sustainability and Resilience, Warsaw, Poland, September 26–27, 2022, ISBN 978-92-990090-0-0, pp. 83-89 [XXX]
  16. Gallina, V.; Viharos, Z. J.; Nick, G.; Frye, M.; Kluth, A.; Szaller, A.; Schmitt, R. H.: Factory of the Year Prize – A Benchmarking, The 18th IMEKO TC10 Conference on Measurement for Diagnostics, Optimisation and Control to Support Sustainability and Resilience, Warsaw, Poland, September 26–27, 2022, ISBN 978-92-990090-0-0, pp. 32-37 [XXX]
  17. Móricz, L.; Viharos, Zs. J.: Investigation of ductile/brittle chip formation zone in the context of manufactured geometry with different CAM paths strategies, IFAC-PapersOnLine, 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022: Nantes, France, 22-24 June 2022, Vol. 55, Issue 10., 2022, pp. 2300-2305., doi: https://doi.org/10.1016/j.ifacol.2022.10.051 [pdf]
  18. Viharos, Z. J.; Kis, K. B.; Fodor, Á.; Büki, M. I.: Adaptive, Hybrid Feature Selection (AHFS), Pattern Recognition, Vol. 116, 2021, doi: 10.1016/j.patcog.2021.107932. (SCI, Impact Factor: 7.74) [pdf]
  19. Viharos Z. J.; Jakab, R. B.: Reinforcement Learning for Statistical Process Control in Manufacturing, Measurement, Vol. 182, 2021, doi: 10.1016/j.measurement.2021.109616. (SCI, Impact Factor: 3.927) [pdf]
  20. Najm, S. M.; Paniti, I.; Trzepieciński, T.; Nama, S. A.; Viharos, Z. J.; Jacsó, Á.: Parametric Effects of Single Point Incremental Forming on Hardness of AA1100 Aluminium Alloy Sheets, Materials, Vol. 14, 2021, doi: 10.3390/ma14237263. (SCI, Impact Factor: 3.623) [pdf]
  21. Glawar, R.; Ansari, F.; Viharos, Z. J.; Matyas, K.; Sihn, W.: Integrating maintenance strategies in autonomous production control using a cost-based model, ACTA IMEKO, Vol. 10, pp. 156–166, 2021, doi: 10.21014/acta_imeko.v10i3.1070. [pdf]
  22. Viharos Z. J.; Farkas, B. Z.: Microsecond measurement resolution for process cycle diagnostics of micro-EDM milling, Measurement: Sensors, Vol. 18, 2021, doi: 10.1016/j.measen.2021.100123. [pdf]
  23. Gangel, K.; Hamar, Z.; Háry, A.; Horváth, Á.; Jandó, G.; Könyves, B.; Panker, D.; Pintér, K.; Pataki, M.; Szalai, M.; Szalay, Zs.; Tettamanti, T.; Tihanyi, V. R.; Tóth, B.; Varga, B.; Viharos, Zs. J.: Modelling the ZalaZONE Proving Ground: a benchmark of State-of-the-art Automotive Simulators PreScan, IPG CarMaker, and VTD Vires, ACTA Tech. JAURINENSIS: Sensors, Vol. 14, pp. 488–507, 2021, doi: 10.14513/actatechjaur.00606. [pdf]
  24. Viharos, Z. J.; Göblyös, C. L.: Support of ERP System replacement with process management tools, Space – Time – Market– Economy, 2021, pp. 137–153. [pdf]
  25. Kovács, Z. F.; Viharos, Z. J.; Kodácsy, J.: The effect of Magnetic Assisted Ball Burnishing on the corrosion resistance of C45 steel, Lecture Notes in Mechanical Engineering, Springer Book, Vol. 2021, pp. 236–248, 2021, doi: 10.1007/978-3-030-71956-2_19. [pdf]
  26. Móricz, L.; Viharos, Z. J.: Vibration based characterization of tool wearing in micro-milling of ceramics, Measurement: Sensors, Vol. 18, 2021, doi: 10.1016/j.measen.2021.100174. [pdf]
  27. Viharos, Z. J.; Móricz, L.; Büki, M. I.: Vibration-based tool life monitoring for ceramics micro-cutting under various toolpath strategies, ACTA IMEKO, Vol. 10, pp. 125–133, 2021, doi: 10.21014/acta_imeko.v10i3.1063. [pdf]
  28. Robert G.; Ansari, F.; Viharos, Zs. J.; Matyas, K.; Sihn, W.: A cost-based model for integrating maintenance strategies in autonomous production control, 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, October 20-22., 2020., ISBN: 978-92-990084-6-1, pp. 258-264. [pdf]
  29. Móricz, L.; Viharos, Zs. J.; Büki, M.: Effect of CAM Path Strategies on Tool Life in Ceramics Micro-Cutting, 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, October 20-22., 2020., ISBN: 978-92-990084-6-1, pp. 92-98. [pdf]
  30. Viharos, Zs. J.; Jakab, R. B.: Reinforcement Learning for Statistical Process Control in Manufacturing, 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, October 20-22., 2020., ISBN: 978-92-990084-6-1, pp. 225-234. [pdf]
  31. Paniti, I.; Najm, S. M.; Viharos, Zs. J.: Lubricants and Affecting Parameters on Hardness in SPIF of AA1100 Aluminum, 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, October 20-22., 2020., ISBN: 978-92-990084-6-1, pp. 387-392. [pdf]
  32. Viharos, Zs. J.; Bán, B.: Comprehensive Comparison of MTM and BasicMOST, as the Most Widely Applied PMTS Analysis Methods, 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, October 20-22., 2020., ISBN: 978-92-990084-6-1, pp. 393-401. [pdf]
  33. Nick, G.; Szaller, Á.; Viharos, Zs. J.; Várgedő, T.; Bányai, D.; Fries, C.; Fechter, M.: Intelligent Production of The Future – First Results of a Survey, 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”, October 20-22., 2020., ISBN: 978-92-990084-6-1, pp. 402-407. [pdf]
  34. Viharos, Zs. J.; Ciani, L.; Bilski, P.; Jakovcic, M.: Proceedings of the 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030”,  October 20-22., 2020., ISBN: 978-92-990084-6-1, p. 413. [pdf]
  35. Móricz, L.; Viharos, Zs. J.; Németh, A.; Szépligeti, A.; Büki, M.: Off-line geometrical and microscopic & on-line vibration based cutting tool wear analysis for micro-milling of ceramics, Measurement, Vol. 163., 2020., pp. XXX-XXX. (https://doi.org/10.1016/j.measurement.2020.108025) (SCI, Impact Factor: 2.791) [pdf]
  36. Kovács, Zs. F.; Viharos, Zs. J.; Kodácsy, J.: Surface flatness and roughness evolution after magnetic assisted ball burnishing of magnetizable and non-magnetizable materials, Measurement, Vol. 158., 2020., pp. XXX-XXX. (https://doi.org/10.1016/j.measurement.2020.107750) (SCI, Impact Factor: 2.791) [pdf]
  37. Kovács, Zs. F.; Kodácsy, J.; Viharos, Zs. J.: Mágneses Síkfelülethengerlő Szerszámmal Létrehozott Él-lekerekítés Technológiai Paramétereinek Optimalizálása (Optimization of Technological Parameters of Edge-rounding After Magnetic Assisted Ball Burnishing) (in Hungarian), Gradus, The Open Access e-Journal of the John von Neumann University, Vol. 7. No. 2., ISSN: 2064-8014, 2020., pp. 343-350., [pdf]
  38. Viharos, Zs. J.; Göblyös, C. L.: ERP Rendszer Váltásának Támogatása Folyamatmenedzsment Eszközökkel (Support pf ERP System Replacement with Process Management Tools) (in Hungarian), Gradus, The Open Access e-Journal of the John von Neumann University, Vol. 7. No. 1., ISSN: 2064-8014, 2020., pp. 136-147., [pdf]
  39. Kovács, Zs. F.; Károly, D.; Károly, P. B.; Kemény, D.; Kodácsy, J.; Viharos, Zs. J.: Mágneses Erővel Történő Felülethengerlés Hatása a Felületérdességre és a Korrózióra C45 Acélon (Influence of Magnetic Assisted Ball Burnishing on the Roughness and Corrosion Resistance of C45 Steel) (in Hungarian), Gradus, The Open Access e-Journal of the John von Neumann University, Vol. 7. No. 2., ISSN: 2064-8014, 2020., pp. 366-373., [pdf]
  40. Paniti, I.; Viharos, Zs. J.; Harangozó, D.; Najm, S. M.: Experimental and numerical investigation of the single-point incremental forming of aluminium alloy foils, ACTA IMEKO, The Open Access e-Journal of the International Measurement Confederation (IMEKO), Vol. 9. No. 1., ISSN: 2221-870X , 2020., pp. 25-31., [pdf]
  41. Viharos, Zs. J.: Introduction to the Acta IMEKO special issue on the 16th IMEKO TC10 conference “Testing, Diagnostics & Inspection as a comprehensive value chain for Quality & Safety”, 2019, ACTA IMEKO, The Open Access e-Journal of the International Measurement Confederation (IMEKO), Vol. 9. No. 1., ISSN: 2221-870X , 2020., pp. 1-2., [pdf]
  42. Viharos, Zs. J.; Ciani, L.: Proceedings of the 16th IMEKO TC10 Conference “Testing, Diagnostics & Inspection as a comprehensive value chain for Quality & Safety”, 2019.09.03-04., Berlin, Germany, ISBN: 978-92-990084-1-6, 2019, p. 165. [pdf]
  43. Kovács, Zs.; Viharos, Zs. J.; Kodácsy, J.; Sándor, R.: Magnetic Assisted Ball Burnishing of Magnetizable and Non-Magnetizable Materials, 16th IMEKO TC10 Conference “Testing, Diagnostics & Inspection as a comprehensive value chain for Quality & Safety”, 2019.09.03-04., Berlin, Germany, ISBN: 978-92-990084-1-6, 2019, pp. 32-38. [pdf]
  44. Líska, J.; Kovács, Zs. F.; Morovic, L.; Buransky, I.; Kuruc, M.; Viharos, Zs. J.; Kritikos, M.: Evaluation of material structure changing after ultrasonic milling of aluminium foam by Computed Tomography–CT, 16th IMEKO TC10 Conference “Testing, Diagnostics & Inspection as a comprehensive value chain for Quality & Safety”, 2019.09.03-04., Berlin, Germany, ISBN: 978-92-990084-1-6, 2019, pp. 45-49. [pdf]
  45. Paniti, I.; Viharos, Zs. J.; Harangozó, D.: Experimental Investigation of Single Point Incremental Forming of Aluminium Alloy Foils, 16th IMEKO TC10 Conference “Testing, Diagnostics & Inspection as a comprehensive value chain for Quality & Safety”, 2019.09.03-04., Berlin, Germany, ISBN: 978-92-990084-1-6, 2019, pp. 50-55. [pdf]
  46. Móricz, L.; Viharos, Zs. J.; Németh, A.; Szépligeti, A.: Product quality and cutting tool analysis for micro-milling of ceramics, 16th IMEKO TC10 Conference “Testing, Diagnostics & Inspection as a comprehensive value chain for Quality & Safety”, 2019.09.03-04., Berlin, Germany, ISBN: 978-92-990084-1-6, 2019, pp. 95-100. [pdf]
  47. Kovács, Zs. F.; Viharos, Zs. J.; Kodácsy, J.: Determination of the working gap and optimal machining parameters for magnetic assisted ball burnishing, Measurement, Vol. 118., 2018., pp. 172-180. (https://doi.org/10.1016/j.measurement.2018.01.033) (SCI, Impact Factor: 2.359) [pdf]
  48. Konrád, K.; Viharos, Zs. J.; Németh, G.: Evaluation, ranking and positioning of measurement methods for pellet production, Measurement, Vol. 124., 2018, pp. 568-574. (https://doi.org/10.1016/j.measurement.2017.12.036) (SCI, Impact Factor: 2.359) [pdf]
  49. Tettamanti, T.; Csikós, A.; Kis, K. B.; Viharos, Zs. J.; Varga, I.: Pattern Recognition Based Speed Forecasting Methodology For Urban Traffic Network, TRANSPORT, https://doi.org/10.3846/16484142.2017.1352027, Vol. 33, No. 4, 2018., pp. 959-970. (SCI, Impact Factor: 1.267) [pdf]
  50. Móricz, L.; Viharos, Zs. J.; Németh, A.; Szépligeti, A.: Indirect measurement and diagnostics of the tool wear for ceramics micro-milling optimisation, XXII IMEKO World Congress “Knowledge through measurement”, September 3-6, 2018, Belfast, United Kingdom, paper ID: IMEKO-OR-135, Journal of Physics: Conference Series (JPCS), Vol. 1065, 2018, IOP Publishing Ltd., paper ID: 102003, (http://iopscience.iop.org/article/10.1088/1742-6596/1065/10/102003, doi:10.1088/1742-6596/1065/10/102003) [pdf]
  51. Kovács, Zs. F.; Viharos, Zs. J.; Kodácsy, J.: The effects of machining strategies of magnetic assisted roller burnishing on the resulted surface structure, XXIII International Conference on Manufacturing (Manufacturing 2018), 7–8 June 2018, Kecskemét, Hungary, IOP Conference Series: Materials Science and Engineering, Vol. 448., Nr. 1., IOP Publishing Ltd., 2018, paper ID: 012002, (http://iopscience.iop.org/article/10.1088/1757-899X/448/1/012002, doi:10.1088/1757-899X/448/1/012002)[pdf]
  52. Viharos, Zs. J.; Konrád, K.: Invited presentation: Pellet Market News Worldwide: Hungary: raw material quality as a crucial factor, European Pellet Conference 2018, World Sustainable Energy Days, Wels, Austria, March 1st, 2018, p. 9. [pdf]
  53. Viharos, Zs. J.; Haidegger, G.: Invited presentation: Ipar 4.0 minőségi aspektusai (Quality aspects of Industry 4.0.), Hungarian Presentation on XXVI. Magyar Minőséghét, Magyar Minőség Társaság, Budapest, November 7-8., 2017, p. 28. [pdf]
  54. Viharos, Zs. J.; Kis, K. B.; Paniti, I.; Farkas, B.; Csorba, L.; Szalay, T.; Czampa, M.: „Method For Micro-Electro-Discharge Machining (μ-Edm) Of Ceramic Workpieces”, European Patent, Nr.: 17462001, 2017. (2020, approved) [European Patent Register]
  55. Viharos, Zs. J.: Proceedings of the 15th IMEKO TC10 Workshop on Technical Diagnostics: “Technical Diagnostics in Cyber-Physical Era”, Budapest, Hungary, June 6-7., 2017., ISBN: 978-92-990075-5-6, p. 206.
  56. Viharos, Zs. J.; Soós, Sz.; Nick, G.; Beregi, R.: Non-comparative, Industry 4.0 Readiness Evaluation for Manufacturing Enterprises, 15th IMEKO TC10 Workshop on Technical Diagnostics: “Technical Diagnostics in Cyber-Physical Era”, Budapest, Hungary, June 6-7., 2017., ISBN: 978-92-990075-5-6, pp. 181-187., [pdf]
  57. Kovács, Zs. F.; Kodácsy, J.; Viharos, Zs. J.: Determination of the optimal working gap of the Magnetic Assisted Roller Burnishing tool, 15th IMEKO TC10 Workshop on Technical Diagnostics: “Technical Diagnostics in Cyber-Physical Era”, Budapest, Hungary, June 6-7., 2017., ISBN: 978-92-990075-5-6, pp. 170-175., [pdf]
  58. Konrád, K.; Viharos, Zs. J.; Németh, G.: Raw material measurement methods evaluation and ranking for pellet production, 15th IMEKO TC10 Workshop on Technical Diagnostics: “Technical Diagnostics in Cyber-Physical Era”, Budapest, Hungary, June 6-7., 2017., ISBN: 978-92-990075-5-6, pp. 164-169., [pdf]
  59. Móricz, L.; Viharos, Zs. J.; Németh, A.; Szépligeti, A.: Efficient Ceramics Manufacturing through Tool Path and Machining Parameter Optimisation, 15th IMEKO TC10 Workshop on Technical Diagnostics: “Technical Diagnostics in Cyber-Physical Era”, Budapest, Hungary, June 6-7., 2017., ISBN: 978-92-990075-5-6, pp. 143-148., [pdf]
  60. Paniti, I.; Viharos, Zs. J.: Fracture diagnostics for Single Point Incremental Forming of thin Aluminium alloy foils, 15th IMEKO TC10 Workshop on Technical Diagnostics: “Technical Diagnostics in Cyber-Physical Era”, Budapest, Hungary, June 6-7., 2017., ISBN: 978-92-990075-5-6, pp. 34-38., [pdf]
  61. Rózsás, Z.; Háry, A.; Viharos, Zs. J.: Multivariable Process Modell For Complex Vehicle Systems Under Extreme Load Environment, 15th IMEKO TC10 Workshop on Technical Diagnostics: “Technical Diagnostics in Cyber-Physical Era”, Budapest, Hungary, June 6-7., 2017., ISBN: 978-92-990075-5-6, pp. 28-33., [pdf]
  62. Kemény, Zs.; Viharos, Zs. J.; Kis, K. B.; Csontos, R.; Kovács, T.; Németh, K.: Surface resistance of ESD-protected worksurfaces — measurement, modelling and estimation considerations, ACTA IMEKO, The Open Access e-Journal of the International Measurement Confederation (IMEKO), Vol. 6. No. 4., ISSN: 2221-870X , 2017., pp. 5-16., [pdf]
  63. Szalóki, I.; Zs. J. Viharos.: Surface Structure Analysis of Syntactic Metal Foams Machined by Milling, Periodica Polytechnica Mechanical Engineering, Vol. 62., No. 1., [S.l.], ISSN 1587-379X., https://doi.org/10.3311/PPme.11003, 2017., pp. 26-32., [pdf]
  64. Kovács, Zs. F.; Viharos, Zs. J.; Kodácsy, J.: Making Twist-Free Surfaces by Magnetic Assisted Ball Burnishing, Journal of Solid State Phenomena, “Precision Machining IX”, Vol. 261., pp 159-166., Trans Tech Publications, Switzerland, doi:10.4028/www.scientific.net/SSP.261.159 2017., pp. 159-166., [pdf]
  65. Viharos, Zs., J.; Kis, K. B.; Paniti, I.; Belső, G.; Németh, P.; Farkas, J.: Artificial Neural Network Model Based Setup Period Estimation for Polymer Cutting, International Journal of Industrial and Manufacturing Engineering, World Academy of Science, Engineering and Technology, Vol:11, No:3, 2017., ICEOPM 2017: 19th International Conference on Engineering, Operations and Production Management, March 26 - 27, 2017. pp. 452 – 458., eISSN:1307-6892, [pdf]
  66. Kovács, Zs.; Viharos, Zs. J.; Kodácsy, J.: Manufacturing of Twist-Free Surfaces by Magnetism Aided Machining (MAM) Technologies, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, World Academy of Science, Engineering and Technology, Vol. 10. No. 12., 2016., pp. 1969-1973. PISSN:2010-376X, EISSN:2010-3778, [pdf]
  67. Viharos, Zs. J.; Csanaki, J.; Nacsa, J.; Edelényi, M.; Péntek, Cs.; Kis, K. B.; Fodor, Á.; Csempesz, J.: Production trend identification and forecast for shop-floor business intelligence, ACTA IMEKO, The Open Access e-Journal of the International Measurement Confederation (IMEKO), Vol. 5. No. 4., 2016., pp. 49-55. ISSN: 2221-870X [pdf]
  68. Kovács, Zs. F.; Viharos, Zs. J.; Kodácsy, J.: Twist reductions by magnetism rolling and polishing (Sodrásosság csökkentése mágneses hengerléssel és polírozással), Gradus, Vol. 3., No. 1., A Pallasz Athéné Egyetem 17. Tudományos Konferenciája a Magyar Tudomány Ünnepe Alkalmából, Mottó: „Oknyomozó tudomány" (Magyar Tudományos Akadémia, 2016), Pallasz Athéné Egyetem, Kecskemét, Izsáki u. 10., Hungary, November 10., ISSN 2064-8014, 2016., pp. 142-147. [pdf]
  69. Móricz, L.; Viharos, Zs. J.: Optimization of ceramic cutting, and trends of machinability (Kerámia marás optimalizálása és a megmunkálás aktuális trendjei), 17th International Conference on Energetics-Electrical Engineering - 26th International Conference on Computers and Educations (XVII. Nemzetközi Energetika-Elektrotechnika Konferencia - XXVI. Nemzetközi Számítástechnika és Oktatás Konferencia (XVII. ENELKO - XXVI. SzámOkt, ENELKO 2016)), Hungarian Technical Scientific Society of Transylvania (Erdélyi Magyar Műszaki Tudományos Társaság); Sapientia EMTE;Magyar Energetikai Társaság, Kolozsvár, Romania, 6-9 October, 2016, pp. 105-110. [pdf]
  70. Konrád, K.; Németh, G.; Viharos, Zs. J.: Extension of the quality control systems to the raw materials of pellets (Minőségszabályozási rendszerek kiterjesztése pellet alapanyagokra), 17th International Conference on Energetics-Electrical Engineering - 26th International Conference on Computers and Educations (XVII. Nemzetközi Energetika-Elektrotechnika Konferencia - XXVI. Nemzetközi Számítástechnika és Oktatás Konferencia (XVII. ENELKO - XXVI. SzámOkt, ENELKO 2016)), Hungarian Technical Scientific Society of Transylvania (Erdélyi Magyar Műszaki Tudományos Társaság); Sapientia EMTE;Magyar Energetikai Társaság, Kolozsvár, Romania, 6-9 October, 2016, pp. 72-77. [pdf]
  71. Szaller, Á.; Gyulai, D.; Viharos, Zs. J.: Manufacturing layout planning considering stochastic effects (Gyártórendszerek elrendezésének tervezése szotchasztikus paraméterek figyelembevételével), GÉP, Vol. LXVII., No. 7-8., Géptervezők és Termékfejlesztők, XXXII. Szemináriuma, MTA MAB Székház Miskolc, Hungary, november 10 (csütörtök) - 11 (péntek), ISSN 0016-8572, 2016., pp. 107-110. [pdf]
  72. Rózsás, Z.; Háry, A.; Viharos, Zs. J.; Vadászné Bogár, G.: Multivariable process modell for complex vehicle systems under extreme load environment (Komplex járműrendszerek sokváltozós folyamatmodellje szélsőséges terhelési környezetben), GÉP, Vol. LXVII., No. 7-8., Géptervezők és Termékfejlesztők, XXXII. Szemináriuma, MTA MAB Székház Miskolc, Hungary, november 10 (csütörtök) - 11 (péntek), ISSN 0016-8572, 2016., pp. 65-70. [pdf]
  73. Szalóki, I.; Sipos, S.; Viharos, Zs. J.: Szintaktikus fémhabok marással megmunkált felületi struktúrájának elemzése, 8th International Engineering Symposium at Bánki (IESB 2016), Óbuda University, Budapest, Hungary, 17 November 2016, ISBN: 978-615-5460-95-1, paper Nr. 50. [pdf]
  74. Kovács, Zs. F.; Viharos, Zs. J.; Kodácsy, J.: Manufacturing of Twist-Free Surfaces by MAM Technologies, 8th International Scientific And Expert Conference TEAM 2016, Trnava, Slovakia from 19th to 21th of October 2016, ISBN 978–80–8096–237–1, pp. 79 - 83. [pdf]
  75. Viharos, Zs. J.; Kis K. B.: Optimal Neuro-Fuzzy model configuration, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), October 9-12, Budapest, Hungary, ISBN 978-1-5090-1819-2, pp. 3640 - 3645. [pdf]
  76. Viharos, Zs. J.; Chetverikov, D.; Háry, A.; Sághegyi, R.; Barta, A.; Zalányi, L. Pomozi, I.; Soós, Sz.; Kövér, Zs.; Varjú, B.: Vision based, statistical learning system for fault recognition in industrial assembly environment, 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), September 6-9, 2016, Berlin, Germany, ISBN 978-1-5090-1314-2, paper nr. 69. [pdf]
  77. Kemény, Zs.; Viharos, Zs. J.; Kis, K. B.; Csontos, R; Kovács, T.; Németh, K.: Measurement and estimation of surface resistance on ESD-protected workstations , 21th IMEKO TC4 International Symposium on Understanding the World through Electrical and Electronic Measurement, and 19th International Workshop on ADC Modelling and Testing, Budapest, Hungary, September 7–9, 2016., pp. 208 - 213. [pdf]
  78. Viharos, Zs. J.; Csanaki, J.; Nacsa, J.; Edelényi, M.; Péntek, Cs.; Kis, K. B.; Fodor, Á.; Csempesz, J.: Production trend identification and forecast for shop-floor business intelligence, 14th IMEKO TC10 Workshop Technical Diagnostics: New Perspectives in Measurements, Tools and Techniques for system’s reliability, maintainability and safety, Milan, Italy, June 27-28, 2016, pp. 300-306. [pdf]
  79. Konrád, K.; Viharos, Zs. J.: Pellet termékciklus szabályozásának, mérésének rendszere és kihívásai, XXII. Ifjúsági Tudományos Fórum, Pannon Egyetem, Georgikon Kar, Keszthely, május 26., 2016, ISBN: 978-963-9639-83-6, Paper nr. 6/2. [pdf]
  80. Gyulai, D.; Szaller, Á.; Viharos, Zs. J.: Simulation-based Flexible Layout Planning Considering Stochastic Effects, 49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016), Procedia CIRP Vol. 57., 2016, Stuttgart, Germany, from May 25th to 27th, 2016, pp. 177-182. [pdf]
  81. Szalóki, I.; Sipos, S.; Viharos, Zs. J.: Aluminum-Based MMC Machining with Carbide Cutting Tool, Key Engineering Materials, Trans Tech Publications, Switzerland, Vol. 686, 2016., pp. 149-154. ISSN: 1662-9795, doi:10.4028/www.scientific.net/KEM.686.149 [pdf]
  82. Szalóki, I.; Sipos, S.; Viharos, Zs. J.: Aluminum-Based MMC Machining with Carbide Cutting Tool, Proceedings of the 8th International Congress on Precision Machining - ICPM 2015, Novi Sad, 1 - 3 October 2015, pp. 151-156., ISBN 978-86-7892-742-3 [pdf]
  83. Szalóki, I.; Viharos, Zs. J.: Keményfém és gyémánt élanyagok teljesítőképességének elemzése alumínium mátrixú kompozit síkmarásakor (Performance analyzis on hard metal and diamond cutting tool materials for plate drilling of aluminium based matrix composites), Gyártás 2015 Konferencia (Manufacturing 2015 Conference), November 20, 2015, Budapest University of Technology and Economics, Budapest, Hungary; GÉPGYÁRTÁS szaklap különszám, Vol. 15, No., 2, 2015, ISSN 0016-8580, pp. 87-92. [pdf]
  84. Móricz, L.; Viharos, Zs. J.: A Kerámiák felhasználásával és tulajdonságaik javításával kapcsolatos trendek (Trends on applications and feature improvements of ceramics) Gyártás 2015 Konferencia (Manufacturing 2015 Conference), November 20, 2015, Budapest University of Technology and Economics, Budapest, Hungary;GÉPGYÁRTÁS szaklap különszám, Vol. 15, No., 2, 2015, ISSN 0016-8580, pp. 93-98. [pdf]
  85. Viharos, Zs. J.; Paniti, I.; Farkas, J.: Beállási idők előrejelzése polimerek forgácsolásánál (Forecast of changeover and set-up times for polimer cutting), Gyártás 2015 Konferencia (Manufacturing 2015 Conference), November 20, 2015, Budapest University of Technology and Economics, Budapest, Hungary; GÉPGYÁRTÁS szaklap különszám, Vol. 15, No., 2, 2015. ISSN 0016-8580, pp. 99-103. [pdf]
  86. Kodácsy, J.; Viharos, Zs. J.; Kovács, Zs.: A forgácsolhatóság meghatározásának módszerei Ni-bázisú szuperötvözetek horonymaráskor (The determination of machinability methods of Ni-based superalloys by slot milling), Gyártás 2015 Konferencia (Manufacturing 2015 Conference), November 20, 2015, Budapest University of Technology and Economics, Budapest, Hungary; GÉPGYÁRTÁS szaklap különszám, Vol. 15, No., 2, 2015. ISSN 0016-8580, pp. 125-129. [pdf]
  87. Kodácsy, J.; Kovács, Zs. F.; Viharos, Zs. J.: A NI-bázisú szuperötvözetek megmunkálhatósága horonymaráskor (Machinebility of the NI-based superalloys by end milling), AGTEDU Konferencia, Kecskemét, A magyar tudomány ünnepe alkalmából, "A tudomány evolúciója: a valós és a virtuális világok", 2015, November 12., Kecskemét, Hungary, Journal GRADUS, Kecskemét College, Open Access, Vol. 2. No. 2. 2015, ISSN 2064-8014, pp. 219 - 226. [pdf]
  88. Viharos, Zs. J.; Kis K. B.: Integrated Experimental design and parameter optimization under uncertain process circumstances, XXI IMEKO World Congress “Measurement in Research and Industry”, August 30 - September 4, 2015, Prague, Czech Republic, ISBN 978-80-01-05793-3, pp. 1219 - 1224. [pdf]
  89. Csikos, A. ; Viharos, Z.J. ; Kis, K.B. ; Tettamanti, T. ; Varga, I.: Traffic speed prediction method for urban networks - an ANN approach, International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015, Date 3-5 June 2015, Budapest, Hungary, ISBN 978-963-313-142-8, IEEE catalog number: CPF15AWU-ART, DOI: 10.1109/MTITS.2015.7223243, pp. 102 - 108. [pdf]
  90. Viharos, Zs. J.; Kis K. B.: Survey on Neuro-Fuzzy Systems and their Applications in Technical Diagnostics and Measurement, Measurement, Vol. 67., 2015., pp. 126-136., (doi: http://dx.doi.org/10.1016/j.measurement.2015.02.001), (SCI, Impact Factor: 1.526.) [pdf].
  91. Viharos, Zs. J.; Kis K. B.: Survey on Neuro-Fuzzy Systems and their Applications in Technical Diagnostics, 13th IMEKO TC10 Workshop on Technical Diagnostics, Advanced measurement tools in technical diagnostics for systems' reliability and safety,  June 26-27, 2014, Warsaw, Poland, ISBN 978-92-990073-3-4, pp. 87-92. [pdf]
  92. Viharos, Zs. J.; Kis K. B.: Increasing the artificial neural network based model building speed for supporting efficient technical diagnostics, 12th IMEKO TC10 Workshop on Technical Diagnostics, New Perspectives in Measurements, Tools and Techniques for Industrial Applications, Florence, Italy, June 6 - 7, 2013, pp. 90-95. [pdf]
  93. Viharos, Zs. J.; Sidló, Cs. I.; Benczúr, A. A.; Csempesz, J.; Kis, K. B.; Petrás, I.; Garzó, A.: ”Big Data” Initiative as an IT Solution for Improved Operation and Maintenance of Wind Turbines, European Wind Energy Association (EWEA) Conference, “Make your vision reality”, 4-7. February, 2013, Vienna, Austria, S9.3, pp. 184-188. [pdf]
  94. Kovács, A.; Erdős, G.; Viharos, Zs. J.; Monostori, L.: Szélparkok hibadetektálása és karbantartás ütemezése (Failure detection and maintenance scheduling for wind farms, in Hungarian), Bólyai János Matematikai Társaság Alkalmazott Matematikai Konferencia 2012, Győr, 2012, presentation available. [pdf]
  95. Viharos, Zs. J.; Kis K. B.: Diagnostics of Wind Turbines Based on Incomplete Sensor Data, XX IMEKO World Congress – Metrology for green growth, TC10 on Technical Diagnostics, September 9-14, 2012, Busan, Republic of Korea, ISBN: 978-89-950000-5-2-95400, paper nr. 644. [pdf]
  96. Viharos, Zs. J.; Monostori, L.; Csempesz, J.; Schmitt, R.; Glöckner, H.; Stiller, S.; Markos, S.: QC2 Loop Editor: The Methodology and the Tool for Closing Quality Loops of Manufacturing Enterprises (http://qc2.sztaki.hu/), Proceedings of the Factory Automation 2012 Conference, May 21-22, 2012, Veszprém, Hungary, pp. 62-67. (ISBN: 978-615-5044-57-1) [pdf]
  97. Schmitt, R.; Monostori, L.; Glöckner, H.; Viharos, Zs. J.: Design and assessment of quality control loops for stable business processes, CIRP Annals – Manufacturing Technology, Vol. 61, No. 1, 2012, pp. 439-444. (http://dx.doi.org/10.1016/j.cirp.2012.03.055) (SCI, Impact factor: 1.684) [pdf]
  98. Spaniol, M.; Benczúr, A; Viharos, Zs. J.; Weikum, G.: Big Web Analytics: Toward a Virtual Web Observatory, ERCIM News (Journal of the European Consortium for Informatics and Mathematics), 2012, pp. 23-24. [pdf]
  99. Gomez, S. E.; Monostori, L.; Kovács, A.; Erdős, G.; Viharos, Zs. J.: „Method and system for optimizing maintenance operation in wind turbine generators and wind farms” (In Spanish, PROCEDIMIENTO Y SISTEMA PARA OPTIMIZAR LAS OPERACIONES DE MANTENIMIENTO EN AEROGENERADORES Y PARQUES EOLICOS), Spanish Patent, Nr.: ES 2401880 B1 (ES 2401880 A1), (P201100748, B831890205, Classification: G05B 23/02 (2006.01)), (https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20130425&CC=ES&NR=2401880A1&KC=A1, https://worldwide.espacenet.com/publicationDetails/originalDocument?FT=D&date=20140310&DB=&locale=en_EP&CC=ES&NR=2401880B1&KC=B1&ND=4, https://patentados.com/patente/procedimiento-sistema-optimizar-operaciones-mantenimiento-aerogeneradores-parques/, https://bopiweb.com/2013-04-25.122#bopi_827482), owner: GAMESA INNOVATION & TECHNOLOGY S.L. (100,0%) Sarriguren (Navarra) ES, invented: 04/07/2011, published: 25/04/2013, granted: 03/03/2014.
  100. Kovács, A.; Erdős, G.; Monostori, L.; Viharos, Zs. J.: Scheduling the maintenance of wind farms for minimizing production loss, Preprints of the 18th IFAC World Congress, August 28 - September 2, 2011, Milano, Italy, pp. 14802-14807. [pdf]
  101. Viharos, Zs. J.; Kis, K. B.: Support Vector Machine (SVM) based general model building algorithm for production control, Preprints of the 18th IFAC World Congress, August 28 - September 2, 2011, Milano, Italy, pp. 14103-14108. [pdf]
  102. Kovács, A.; Csempesz, J.; Erdős, G.; Karnok, D.; Kemény, L.; Monostori, L.; Viharos, Zs. J.: WindMT: An integrated system for failure detection and maintenance scheduling at wind farms. In: ICAPS 2011, the 21th International Conference on Automated Planning and Scheduling, Proceedings of System Demonstrations, Freiburg, 2011, pp. 46-49. [pdf]
  103. Viharos, Zs. J.; Monostori, L.; Schmitt, R.; Glöckner, H.; Stiller, S.; Markos, S.: Quantifiable Closed Quality Control (QC2), Factory Automation 2011 Conference, 25-26. May, 2011, Győr, Hungary, ISBN: 978-963-7175-3, pp. 25-33. [pdf]
  104. Qiu Y.; Richardson, P.; Feng, Y.; Tavner, P.; Erdős, G.; Viharos, Zs., J.: Scada alarm analysis for improving wind turbine reliability, European Wind Energy Conference and Exhibition (EWEC), 14-17. March, 2011, Brussels, Belgium, paper nr.: 89. [pdf]
  105. Schmitt, R.; Glöckner, H.; Stiller, S.; Monostori, L.; Viharos, Zs. J.: Designing Closed Quality Control Loops for Stable Production Systems, 55th EOQ Congress, Budapest, Hungary “World Quality Congress”, June 20-23, 2011, “Navigating Global Quality in a New Era”, paper nr.: 11.1.3. [pdf]
  106. Kovács, A.; Erdős, G.; Viharos, Zs. J.; Monostori, L.: A system for the detailed scheduling of wind farm maintenance, CIRP Annals – Manufacturing Technology, Vol. 60, No. 1, 2011, (DOI: 10.1016/j.cirp.2011.03.049), pp. 497-501. (SCI, Impact factor: 1.603) [pdf]
  107. Viharos, Zs. J.; Mikó, B.: Artificial neural network approach for injection mould cost estimation, The 44th CIRP Conference on Manufacturing Systems, New Worlds of Manufacturing, Madison, WI., June 1-3., 2011, United States of America, paper nr.: 32. [pdf]
  108. Viharos, Zs. J.; Erdős, G; Kovács, A.; Monostori, L.: AI supported maintenance and reliability system in wind energy production, European Wind Energy Conference and Exhibition (EWEC), Tuesday 20 - Friday 23 April 2010, Warsaw, Poland, paper nr.: 286. [pdf]
  109. Viharos, Zs.J.; Erdős, G.; Kovács, A.; Monostori, L.: Artificial intelligence applications for maintenance oriented health monitoring of wind turbines, Proceedings of the 7th Conference on Mechanical Engineering, Special scope of Advanced Technologies, May 25 - 26, 2010, Budapest, Hungary, ISBN: 978-963-313-007-0, pp. 403-413. [pdf]
  110. Monostori, L.; Viharos, Zs. J.; Erdős, G; Kovács, A.: AI supported maintenance and reliability system in wind energy production, The International Symposium on Methods of Artificial Intelligence AI-METH 2009, November 18-19, 2009, Gliwice, Poland, paper nr.: 20. [pdf]
  111. Kemény, Zs.; Csáji, B. Cs.; Viharos, Zs.: Optimization of Timing Parameters for Vision-Based Monitoring of Automated Production Lines, International Journal of Factory Automation, Robotics and Soft Computing, ISSN 1828-6984, Vol. 4, Nr. 1, 2009, pp. 30-38. [pdf]
  112. Kemény, Zs.; Csáji, B. Cs.; Viharos, Zs.: Optimization of Timing Parameters for Vision-Based Monitoring of Automated Production Lines, Pennacchio, S. (Ed.), Book: Recent advances in Control Systems, Robotics and Automation - Third edition, ISBN: 978-88-901928-6-9, 2009, pp. 123-131. [pdf]
  113. Viharos, Zs. J.: AI based, automatic production system decomposition; 5th International Conference on Digital Enterprise Technology, DET2008, October 22-24, 2008, Nantes, France, paper nr. 94. [pdf]
  114. Viharos, Zs. J.; Monostori, L.; Kemény, Zs.: Automatic partitioning of problems through submodel decomposition - A promising technique of digital enterprise technology, in Book: Digital Enterprise Technology: Perspectives and Future Challenges, Springer, Hardcover, 593 pages, ISBN 038749863X, Published June 2007, pp. 65-73. [pdf]
  115. Argyros, A.; Bártfai, G.; Eitzinger, Ch.; Kemény, Zs.; Csáji, B. Cs.; Kék, L.; Lourakis, M.; Reisner, W.; Sandrisser, W.; Sarmis, T.; Umgeher, G.; Viharos, Zs. J.; Smart Sensor Based Vision System for Automated Processes, International Journal of Factory Automation, Robotics and Soft Computing, Thomson Scientific Journal, in print,paper ID.: 373., pp. 118-123. [pdf]
  116. Argyros, A.; Bártfai, G.; Eitzinger, Ch.; Kemény, Zs.; Csáji, B. Cs.; Kék, L.; Lourakis, M.; Reisner, W.; Sandrisser, W.; Sarmis, T.; Umgeher, G.; Viharos, Zs. J.; Smart Sensor Based Vision System for Automated Processes, International scientific book Emerging Technologies, Robotics and Control Systems, International Society for Advanced Research, Thomson Scientific Journal, ISBN: 978-88-901928-9-5, 2007, pp. 24-29. [pdf]
  117. Viharos, Zs. J.; Kemény, Zs.; AI techniques in modelling, assignment, problem solving and optimisation, Journal of Engineering Applications of Artificial Intelligence, 2007, Vol 20., pp. 691-698, (SCI, Impact factor: 0.709) [pdf]
  118. Monostori, L.; Váncza, J.; Márkus, A.; Kis, T.; Kovács, A.; Erdős, G.; Kádár, B.; Viharos, Zs.J.; Real-time, cooperative enterprises: management of changes and disturbances in different levels of production , CIRP Journal of Manufacturing Systems, Vol. 35, No. 4, 2006, pp. 351-359. [pdf]
  119. Monostori, L.; Váncza, J.; Kis, T.; Kádár, B.; Viharos, Zs.J.; Real-time, cooperative enterprises: requirements and solution approaches, Information Control Problems in Manufacturing 2006, A Proceedings volume from the 12th IFAC International Symposium, St Etienne, France, 17-19 May 2006, Ed.: Dolgui, A.; Morel, G.; Pereira, C.; Elsevier, 2006, Vol. I, pp. 561-566. [pdf]
  120. Monostori, L.; Váncza, J.; Kis, T.; Kádár, B.; Viharos, Zs.J.; Real-time, cooperative enterprises: requirements and solution approaches, Preprints of the 12th IFAC Symposium on Information Control Problems in Manufacturing, INCOM-2006, May 17-19, 2006, Saint Etienne, France, Vol. I, pp. 591-596. [pdf]
  121. Monostori, L.; Vancza, J; Kis, T.; Kádár, B.; Viharos, Zs. J.; Real-time, cooperative enterprises, The Modern Information Technology in the Innovation Processes of the Industrial Enterprises - MITIP2006, September 11-12, 2006, Budapest, Hungary, pp. 1-8. [pdf]
  122. Viharos, Zs. J.; Kádár, B.; Monostori, L.; Kemény, Zs.; Csáji, B.; Pfeiffer, A.; Karnok, D.; Integration of production-, quality- and process monitoring for agile manufacturing, XVIII IMEKO World Congress - Metrology for a Sustainable Development, September 17-22, 2006, Rio de Janeiro, Brazil, paper nr.: 33. [pdf]
  123. Monostori, L.; Viharos, Zs.J.; Technical monitoring and diagnostics: Indispensable element of intelligent manufacturing systems, XVIII IMEKO World Congress - Metrology for a Sustainable Development, September 17-22, 2006, Rio de Janeiro, Brazil, paper nr.: 32. [pdf]
  124. Viharos, Zs. J.; Monostori, L.; Kemény, Zs.; Automatic partitioning of problems through submodel decomposition - a promising technique of digital enterprise technology, 3rd International CIRP Conference on Digital Enterprise Technology, September 18-20, 2006, Setúbal, Portugal, paper nr.: f75_A4. [pdf]
  125. Viharos, Zs. J.; Kemény, Zs.; AI techniques in modelling, assignment, problem solving and optimisation, AI-METH 2005 - Artificial Intelligence Methods, November 16-18, 2005, Gliwice, Poland, pp. 225-230. [pdf]
  126. Viharos, Zs. J.; Automatic generation a net of models for high and low levels of production control, 16th IFAC Word Congress, July 4-8, 2005, Prague, Czech Republic,paper nr.: 05127. [pdf]
  127. Monostori, L.; Viharos, Zs.J.: Proceedings of the 10th IMEKO TC-10 International Conference on Technical Diagnostics, June 9-10, 2005, Budapest, Hungary, p. 183.
  128. Viharos, Zs. J.; Kemény, Zs.; Similarities of high and low levels of production with respect to assignments and solution techniques, 10th IMEKO TC10 International Conference on Technical Diagnostics, 9-10 June, 2005, Budapest, Hungary, pp. 45-50. [pdf]
  129. Monostori, L.; Váncza, J.; Márkus, T.; Kis, T.; Kovács, A.; Erdős, G.; Kádár, B.; Viharos, Zs. J.; Real-time, cooperative enterprises: management of changes and disturbances on different levels of production, The 38th CIRP Seminar on Manufacturing Systems, May 16-18, 2005, Florianópolis, Brazil, pp. 1-6. [pdf]
  130. Viharos, Zs. J.; Monostori, L.; Quality-oriented modelling, simulation and management of production lines, 37th CIRP International Seminar on Manufacturing Systems, Digital enterprises, production networks, May 19-21, 2004, Budapest, Hungary, pp. 457-462. [pdf]
  131. Viharos, Zs. J.; Monostori, L.; Csongrádi, Z.; Realizing the digital factory: monitoring of complex production systems, Intelligent Manufacturing Systems, 2003, Elsevier, 2003, pp. 29-34. [pdf]
  132. Monostori, L.; Váncza, J.; Márkus, A.; Kádár, B.; Viharos, Zs.J.; Digital Enterprises: First results of a national R&D project, 2003 IEEE/RSJ International Conference of Intelligent Robots and Systems, IROS 2003, October 27-31, 2003, Las Vegas, Nevada, U.S.A., IEEE, ISBN: 0-7803-7861-X, pp. 2335-2340. [pdf]
  133. Viharos, Zs.J.; Markos, L; Szekeres, Cs; ANN-based chip-form classification in turning; XVII IMEKO World Congress - Metrology in the 3rd Millennium; Dubrovnik, Croatia, June 22-27, 2003, pp. 1469-1473. [pdf]
  134. Viharos, Zs.J.; Monostori, L.; Novák, K.; Tóth, G.; Csongrádi, Z.; Kenderesy, T.; Sólymosi, T.; Lőrincz, Á.; Koródi, T; Monitoring of complex production systems, in view of digital factories; XVII IMEKO World Congress - Metrology in the 3rd Millennium; Dubrovnik, Croatia, June 22-27, 2003, pp. 1463-1468. [pdf]
  135. Monostori, L.; Váncza, J.; Márkus, A.; Kádár, B.; Viharos, Zs. J.; Towards the realisation of Digital Enterprises, Proceedings of the 36th CIRP International Seminar on Manufacturing Systems, Progress in Virtual Manufacturing Systems, June 3-5, 2003, Saarbrücken, Germany, pp. 99-106. [pdf]
  136. Viharos, Zs. J.; Monostori, L.; Csongrádi, Z.; Realizing the Digital Factory: Monitoring of complex production systems; International Federation of Automatic Control (IFAC), 7th Workshop on Intelligent Manufacturing Systems; Budapest, Hungary, April 6-8., 2003, pp. 31-36. [pdf]
  137. Viharos, Zs. J.; Monostori, L.; Csongrádi, Z.; An important aspect of a digital factory: Monitoring of complex production systems; WESIC 2003, 4th Workshop on European Scientific and Industrial Collaboration; Miskolc, Hungary, May 28-30., 2003, pp. 363-370. [pdf]
  138. Monostori, L.; Haidegger, G.; Váncza, J.; Viharos, Zs.J.; Digital factories, production networks, ERCIM News (Journal of the European Consortium for Informatics and Mathematics), No. 51, October 2002, pp. 53-54. [pdf]
  139. Monostori, L.; Haidegger, G.; Váncza, J.; Viharos, Zs.J.; Digital Enterprises: A national project in Hungary; 1st CIRP(UK) International Seminar on Digital Enterprise Technology; Durham, UK, 16-17th September, 2002, pp. 269-272. [pdf]
  140. Viharos, Zs. J.; Monostori, L.; Optimisation of production systems using simulation and artificial intelligence techniques; Machnining 2002, Budapest, Hungary, 30-31 March, 2002, pp. 579-583. [pdf]
  141. Viharos, Zs. J.; Monostori, L.; Novák, K.; Tóth, G. A.; Kenderesy, T.; Csongrádi, Z.; Koródi, T.; Monitoring parameter based determination of production tolerances; Machnining 2002, Budapest, Hungary, 30-31 March, 2002, pp. 574-578. [pdf]
  142. Viharos, Zs. J.; Novák, K; Tóth, G. A.; Markos, S.; Modelling of different aspect of the cutting process by using ANNs, XIII Workshop on Supervising and Diagnostics of Machining Systems - Open and global manufacturing design (CIRP); Karpatz, Poland, 11-13 March, 2002, pp. 241-249. [pdf]
  143. Viharos, Zs.J.; Monostori, L.; Vincze, T.; Training and application of artificial neural networks with incomplete data, The Fifteenth International Conference on Industrial & Engineering Application of Artificial Intelligence & Expert Systems, Book: Lecture Notes of Artificial Intelligence, Springer Computer Science Book, Springer-Verlag Heidelberg; Cairns, Australia, 17-20 June, 2002, pp. 649-659. (SCI, Impact Factor: 0.515) [pdf]
  144. Viharos, Zs.J.; Monostori, L.; Optimisation of process chains and production plants using hybrid, AI- and simulation based general process models; The Fourteenth International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, Book: Lecture Notes of Artificial Intelligence, Springer Computer Science Book, Springer-Verlag Heidelberg; Budapest, Hungary, 4-7 June, 2001, pp. 827-835. (SCI, Impact Factor: 0.415) [pdf]
  145. Monostori, L.; Viharos, Zs.J.; Hybrid, AI- and simulation-supported optimisation of process chains and production plants, Annals of the CIRP, Vol. 50, No. 1, 2001, pp. 353-356. [pdf]
  146. Monostori, L.; Kádár, B.; Viharos, Zs.J.; Mezgár, I.; Stefán, P.; Combined use of simulation and AI/machine learning techniques in designing manufacturing processes and systems, Journal of Manufacturing Science and Production, Freund Publishing House Ltd., Tel Aviv, Israel, 2000, pp. 111-117. [pdf]
  147. Monostori, L.; Viharos, Zs. J.; Multipurpose modeling and optimization of production processes and process chains by combining machine learning and search techniques, Journal of Manufacturing Systems, WISU Verlag Aachen & Faculty Press International, Vol. 30, No. 4, 2000, pp. 345-352. [pdf]
  148. Monostori, L.; Viharos, Zs. J.; Quality-oriented modelling and optimisation of production processes and process chains, XVI. IMEKO World Congress, September 25-28, 2000, Vienna, Austria, pp. 439-444. [pdf]
  149. Viharos, ZS.J.; Monostori, L.; AI-based modelling and optimisation of coupled production processes, ERCIM News (Journal of the European Consortium for Informatics and Mathematics), No. 42, July 2000, pp. 32-33. [pdf]
  150. Monostori, L.; Kádár, B.; Viharos, Zs.J.; Stefán, P.; AI and machine learning techniques combined with simulation for designing and controlling manufacturing processes and systems, Preprints of the IFAC Symposium on Manufacturing, Modeling, Management and Supervision, MIM 2000, July 12-14, 2000, Patras, Greece, pp. 167-172. [pdf]
  151. Monostori, L.; Kádár, B.; Viharos, Zs.J.; Mezgár, I.; Stefán, P.: Combined use of simulation and AI/machine learning techniques in designing manufacturing processes and systems, Proceedings of the 2000 International CIRP Design Seminar on Design with Manufacturing: Intelligent Design Concepts Methods and Algorithms, May 16-18, 2000, Haifa, Israel, pp. 199-204. [pdf]
  152. Viharos, Zs. J.; Learning algorithms and their applications in quality control and process management; Thesis for the MBA Degree, Budapest University of Technology and Economics - Rochester Institute of Technology, State University of New York at Buffalo, 1999. (in Hungarian)
  153. Viharos, Zs. J.; Intelligent methods in modelling and optimisation of manufacturing processes, Dissertation for the Ph.D. Degree of the Technical University of Budapest, 1999. (in Hungarian); PhD dissertation (in hungarian), dissertation in pdf format- proposed for reading and downloading; theses (in hungarian), theses in pdf format - proposed for reading and downloading; PhD English summary
  154. Dolinsek, S.; Kopac, J; Viharos, Zs. J.; Monostori, L; An intelligent AE sensor for the monitoring of finish machining process, The Second International Conference on Intelligent Processing and Manufacturing of Materials, July 10-15, 1999, Honolulu, Hawaii, pp. 847-853. [pdf]
  155. Viharos, Zs. J., Monostori, L., Markos, S.; A framework for modelling, monitoring and optimisation of manufacturing processes and process chains by using machine learning and search algorithms, 9th IMEKO TC-10 International Conference on Technical Diagnostics September 22-24, 1999, Wroclaw, Poland, pp. 249-254. [pdf]
  156. Viharos, Zs. J.; Monostori, L.; A compromise oriented optimization tool for supporting decision making in machining, Proceedings of ASI'99, The Annual Conference of ICIMS-NOE, Life Cycle Approaches to Production Systems, Management, Control, Supervision, September 22-24, 1999, Leuven, Belgium, pp. 124-131. [pdf]
  157. Viharos Zs. J.; Application capabilities of a general, ANN based cutting model in different phases of manufacturing through automatic determination of its input-output configuration; Journal of Periodica Politechnica - Mechanical Engineering, Vol. 43., No. 2., 1999., pp. 189-196 [pdf]
  158. Viharos, Zs. J.; Monostori, L; Automatic input-output configuration of ANN-based process models and its application in machining, Book: Lecture Notes of Artificial Intelligence - Multiple Approaches to Intelligent Systems, Conference, Cairo, Egypt, May 31-June 3, 1999, Springer Computer Science Book, Springer-Verlag Heidelberg, pp. 659-668. (SCI, Impact Factor: 0.53) [pdf]
  159. Monostori, L.; Viharos, Zs. J.; Multipurpose modelling and optimisation of production processes and process chains by combining machine learning and search techniques, The 32nd CIRP International Seminar on Manufacturing Systems, New Supporting Tools for Designing Products and Production Systems, Leuven, Belgium, May 24-26, 1999, pp. 399-408. ISBN 9073802687 [pdf]
  160. Viharos Zs. J.; A general ANN model of turning and its application for surface roughness estimation using acoustic emission signal; MOSYCUT - Model-based monitoring systems for cutting tools and processes, MOSYCUT Workshop-Ljubljana, 1999, pp. 73-78. [pdf]
  161. Viharos Zs. J.; Solutions of various assignments in different levels of machining using a general ANN-based process model; MOSYCUT - Model-based monitoring systems for cutting tools and processes, MOSYCUT Workshop-Ljubljana, 1999, pp. 65-72. [pdf]
  162. Viharos, Zs. J.; Monostori, L.; Intelligent, quality-oriented supervisory control of manufacturing processes and process chains; DYCOMANS Workshop, Bled-Slovenia, 12-14 May, 1999, Slovenia, pp. 129-134. [pdf]
  163. Monostori, L.; Viharos Zs. J.; Markos, S.; Satisfying various requirements in different levels and stages of machining using one general ANN-based process model; Journal of Materials Processing Technology, ELSEVIER SCIENCE SA, LAUSANNE, 107: (1-3) 228-235. NOV 22 2000 IDS Number: 379YF, ISSN: 0924-0136; (SCI, Impact Factor: 0.169) [pdf]
  164. Monostori, L.; Viharos Zs. J.; Markos, S.; Satisfying various requirements in different levels and stages of machining using one general ANN-based process model; 15th International Conference on COMPUTER-AIDED PRODUCTION ENGINEERING; CAPE'99, 19-21 April 1999, University of Durham, UK, pp. 477-484 ISBN 0953555801 [pdf]
  165. Viharos Zs. J., Monostori, L.; A general, ANN-based cutting model and its application in different phases of manufacturing; MicroCAD '99, International Conf. on Computer Research; University of Miskolc, Hungary, 24-25 February 1999, pp. 123-129. [pdf]
  166. Viharos, Zs. J.; Monostori, L.; Markos, S; Selection of input and output variables of ANN based modeling of cutting processes. Journal of Machine Engineering, Vol. 3 No. 4 / 1998 (published in 1999) (in polish) Poland pp. 97-110.
  167. Viharos, Zs. J.; Monostori, L.; Markos, S; Selection of input and output variables of ANN based modeling of cutting processes. Proceedings. X. Workshop on Supervising and Diagnostics of Machining Systems, 21-26 March 1999, Karpacz, Poland pp. 121-131. ISSN08677778 [pdf]
  168. Markos, S.; Viharos, ZS.J.; Comprehensive modelling of machining processes, Proceedings of the Mexican-Hungarian Workshop on Factory Automation and Material Sciences, May 25-29, 1998, Miskolc, Budapest, Hungary, pp. 123-128.
  169. Markos, S.; Viharos, Zs. J.; L. Monostori; Quality-oriented comprehensive modelling of machining processes; 6th ISMQC IMEKO Symposium on Metrology for Quality Control in Production, September 8-10, 1998, Vienna, Austria, pp. 67-74. ISBN 3901888020 [pdf]
  170. Monostori, L.; Egresits, CS.; Hornyák, J.; Viharos, Zs. J.; Soft computing and hybrid AI approaches to intelligent manufacturing. Book, Lecture Notes in Artificial Intelligence, 1416, Proceedings. 11th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, Castellon, Spain, 1998 jun 1-4. , pp. 763-774. (SCI, Impact factor: XXX) [pdf]
  171. Viharos, Zs. J.; Felületmegmunkálási mód felismerése neurális hálóval című fejezet A mesterséges intelligencia módszerek gyakorlati alkalmazása című gyakorlati jegyzetben. Gábor Dénes Műszaki Főiskola., 1997, pp. 77-8.
  172. Viharos, Zs. J.; Monostori, L.; Optimization of process chains by artificial neural networks and genetic algorithms using quality control charts. Proceedings.  Danube - Adria Association for Automation and Metrology, Dubrovnik,1997. pp. 353-354. ISBN 3901509046 [pdf]
  173. Osanna, P. H.; Monostori, L.; Alpek, F.; Viharos Zs. J.; Fertigungsparameterschätzung zur vorgeschriebenen Oberflächenqualität mittels neuronalen Netze. Proceedings. Danube - Adria Association for Automation and Metrology, Vienna,1996. pp. 311-312. ISBN 390150902X [pdf]
  174. Szalay, T.; Alpek, F.; Monostori, L.; Markos, S.; Viharos, Zs. J.; Investigation of machined surfaces using artifical intelligence methods. International Conference on Machining Tools, Miskolc, 1996. pp. 635-640. [pdf]
  175. Viharos, Zs. J.; Neurális háló alkalmazása felületi érdesség értékelésére és becslésére, Diplomamunka - Anwendung von neuronalen Netzen zur Bewertung und Schätzung der Rauheit der Oberflächen, Diplomarbeit, MTA SZTAKI, Budapesti Műszaki Egyetem, Matematika, Gépgyártástechnológia Tanszék, Technische Universität Wien, Institut für Austauschbau und Messtechnik, 1996
  176. Viharos Zs. J.; Megmunkált felületek minősítése neurális háló alkalmazásával, Fiatal Műszakiak Tudományos Ülésszaka, Kolozsvár, 1996., pp 7-13. [pdf]
  177. Viharos, Zs. J.; Neurális hálók alkalmazása a megmunkált felületek minősítésére, TDK dolgozat, Budapesti Műszaki Egyetem, Gépészmérnöki Kar, Gépgyártástechnológia Tanszék, I. helyezés
  178. Alpek, F.; Viharos, Zs.J.; Erfahrungen am Einsatz von neuronalen Netzen zur Bewertung der Oberflächenqualität, Danube - Adria Association for Automation and Metrology, Krakkow, 1995., pp. 011-012. ISBN 3901509011 [pdf]