Quynh Nguyen Phuong Vu
- Academic title: Doctoral Student
- Telephone: +46 (0)10-1428782
- Email: quynh.nguyenphuongvu@miun.se
- Location: Sundsvall
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- Research centers:
- STC Research Centre
Research projects
Current
IRS TransTech - International Research School in Transformative Technology
Publications
Konferensbidrag
Nguyen Phuong Vu, Q. , Lago, P. , Bader, S. & Inoue, S. (2025). ALOHA : Leveraging Additional Information to Learn Robust Representations for Human Activity Recognition. I 2025 International Conference on Activity and Behavior Computing (ABC).
Martinez Rau, L. S. , Zhang, Y. , Nguyen Phuong Vu, Q. , Oelmann, B. & Bader, S. (2025). An On-Device Hybrid Machine Learning Approach for Anomaly Detection in Conveyor Belt Operations. I 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
Nguyen Phuong Vu, Q. , Martinez Rau, L. S. , Zhang, Y. , Tran, N. D. , Oelmann, B. , Magno, M. & Bader, S. (2025). Efficient Continual Learning in Keyword Spotting using Binary Neural Networks. I 2025 IEEE Sensors Applications Symposium (SAS).. S. 1--6.
Zhang, Y. , Xu, Y. , Martinez Rau, L. S. , Nguyen Phuong Vu, Q. , Oelmann, B. & Bader, S. (2025). On-Device Crack Segmentation for Edge Structural Health Monitoring. I 2025 IEEE Sensors Applications Symposium (SAS).. S. 1--6.
Zhang, Y. , Martinez Rau, L. S. , Nguyen Phuong Vu, Q. , Oelmann, B. & Bader, S. (2025). Survey of Quantization Techniques for On-Device Vision-based Crack Detection. I 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
Manuskript
Zhang, Y. , Nürnberg, A. , Martinez Rau, L. , Nguyen Phuong Vu, Q. , Lu, Y. , Oelmann, B. & Bader, S. TinyML Pipeline for Efficient Crack Classification in UAV-based Structural Health Inspections.