Reproduce “Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Mohammad Ali Labbaf-Khaniki, Mohammad Manthouri, Hanieh Ajami

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.