Items where Author is "Csempesz, János"
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Number of items: 7.
2011
| Date | Author/Title | Document Type | |
|---|---|---|---|
| 2011 | Kovács, András and Csempesz, János and Erdős, Ferenc Gábor and Karnok, Dávid and Kemény, Lőrinc and Monostori, László and Viharos, Zsolt János WindMT: An integrated system for failure detection and maintenance scheduling at wind farms | Conference or Workshop Item |
2012
| Date | Author/Title | Document Type | |
|---|---|---|---|
| 2012 | Viharos, Zsolt János and Monostori, László and Csempesz, János and Schmitt, R and Glöckner, H and Stiller, S and Markos, S QC2 Loop Editor: The Metholology and the Tool for Closing Quality Loops of Manufacturing Enterprises | Conference or Workshop Item |
2013
| Date | Author/Title | Document Type | |
|---|---|---|---|
| 2013 | Viharos, Zsolt János and Sidló, Csaba István and Benczúr, András and Csempesz, János and Kis, Krisztián Balázs and Petrás, István and Garzó, András ”Big Data” Initiative as an IT Solution for Improved Operation and Maintenance of Wind Turbines |  | Conference or Workshop Item |
2016
| Date | Author/Title | Document Type | |
|---|---|---|---|
| 2016 | Viharos, Zsolt János and Csanaki, J and Nacsa, János and Edelényi, M and Péntek, C and Kis, Krisztián Balázs and Fodor, Ádám and Csempesz, János Production trend identification and forecast for shop-floor business intelligence | Book Section | |
| 2016 | Viharos, Zsolt János and Csanaki, J and Nacsa, János and Edelényi, M and Péntek, Cs and Kis, Krisztián Balázs and Fodor, Ádám and Csempesz, János Production trend identification and forecast for shop-floor business intelligence | Article |
2021
| Date | Author/Title | Document Type | |
|---|---|---|---|
| 2021 | Kemény, Zsolt and Beregi, Richárd József and Hajós, Mátyás and Csempesz, János and Nacsa, János Enabling Distance Learning and Remote Collaboration in Layout and Process Planning | Article | |
| 2021 | Kis, Krisztián Balázs and Csempesz, János and Csáji, Balázs Csanád A simultaneous localization and mapping algorithm for sensors with low sampling rate and its application to autonomous mobile robots | Article |
