(Oral Presentation) Hybrid Transformer-Driven Autonomous Soft-Sensing System for N₂O Emissions in a Full-Scale Wastewater Treatment Plant: Sensor Fault Reconstruction and Quantification

SeonJu Kim delivered an oral presentation titled “Hybrid Transformer-Driven Autonomous Soft-Sensing System for N₂O Emissions in a Full-Scale Wastewater Treatment Plant: Sensor Fault Reconstruction and Quantification” at Water 2026 in Industry in the Netherlands. The presentation focused on state-of-the-art AI applications for reliable N₂O emissions monitoring in full-scale wastewater treatment plants, including hybrid transformer-based soft sensing, sensor fault reconstruction, and autonomous N₂O emission quantification under faulty or missing sensor conditions.