A January 2025 study introduces a dual-branch deep learning framework (Dual-DL) that integrates CNN spatial analysis with RNN spectral data to improve geochemical anomaly identification. The model, enhanced by specialized loss functions, significantly improves accuracy and interpretability over standard methods. Read the full research article on AGU Publications AGU Publications