Vahid Mokarram

Noise-Resilient Deep Learning for Post-Earthquake Strain Prediction in Steel Frames with Setbacks

A systematic engineering framework is presented that translates established machine-learning techniques into a noise-resilient deep neural network (NR-DNN) for post-earthquake building assessment using noisy strain sensor data. The proposed model is built upon four major mechanisms: (1) noise‑aware training using a mul...