works on
anomaly detection 1autoencoders 1edge computing 1resource-constrained devices 1time-series analysis 1wavelet transform 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

Lightweight Multi-Scale Anomaly Detection for Resource-Constrained Edge Devices

Raheen Junaid Wani, Smruti R. Sarangi

The paper introduces a compact multi‑scale autoencoder that uses discrete wavelet transforms to detect anomalies in univariate time‑series data, achieving high accuracy with a mode…