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cs.LG2025
On-device Anomaly Detection in Conveyor Belt Operations
Luciano S. Martinez-Rau, Yuxuan Zhang, Bengt Oelmann +1
Conveyor belts are crucial in mining operations by enabling the continuous and efficient movement of bulk materials over long distances, which directly impacts productivity. While…
cs.LG2025
On-Device Crack Segmentation for Edge Structural Health Monitoring
Yuxuan Zhang, Ye Xu, Luciano Sebastian Martinez-Rau +3
Crack segmentation can play a critical role in Structural Health Monitoring (SHM) by enabling accurate identification of crack size and location, which allows to monitor structural…
cs.LG2025
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks
Quynh Nguyen-Phuong Vu, Luciano Sebastian Martinez-Rau, Yuxuan Zhang +4
Keyword spotting (KWS) is an essential function that enables interaction with ubiquitous smart devices. However, in resource-limited devices, KWS models are often static and can th…