collaborators

1 paper

cs.CV2026

Multi-Modal Semantic Segmentation of Electrolyzer Components for Sustainable Hydrogen Technologies: A Dual-Branch Deep Learning Approach

Wasimul Karim, Nur Mohammad Fahad, Abdul Hasib Siddique +4

Accurate segmentation of electrolyzer materials is essential for automated disassembly, sustainable recycling, and circular manufacturing in hydrogen technologies. However, this ta…