Mahmut Kılıçaslan

Adaptive TinyML with Shift-Aware Routing for Human Activity Recognition Under Distribution Shifts

The proposed framework provides a practical basis for adaptive inference in TinyML-based wearable and edge sensing systems operating under variable real-world conditions and demonstrates that explicit distribution-shift information can help resource-constrained HAR models allocate additional computation when sensing co...