Nurseno Bayu Aji

Knowledge Distillation and Quantization-Aware Compression for Remaining Useful Life Prediction on Resource-Constrained IoT Devices

Models that achieve the best desktop accuracy in Remaining Useful Life (RUL) prediction do not necessarily meet the deployment constraints on IoT microcontrollers. The dominant evaluation paradigm rewards offline accuracy, yet condition-based maintenance ultimately requires inference within strict memory and latency bu...