693.932 PEOPLE
| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Yaghoubi, Vahid
Delft University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2023Integrated interval Mahalanobis classification system for the quality classification of turbine blades based on vibrational data incorporating measurement uncertainty
- 2023On the fracture behavior of cortical bone microstructurecitations
- 2022An ensemble classifier for vibration-based quality monitoringcitations
- 2022A novel multi-classifier information fusion based on Dempster-Shafer theory: application to vibration-based fault detectioncitations
- 2022CNN-DST: Ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognitioncitations
- 2021Quality inspection of complex-shaped metal parts by vibrations and an integrated Mahalanobis classification systemcitations
- 2021Vibrational quality classification of metallic turbine blades under measurement uncertainty
- 2021CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition
- 2021Mahalanobis classification system (MCS) integrated with binary particle swarm optimization for robust quality classification of complex metallic turbine bladescitations
- 2020An ensemble classifier for vibration-based quality monitoring
- 2020On the Influence of Reference Mahalanobis Distance Space for Quality Classification of Complex Metal Parts Using Vibrationscitations
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