ACS Spring 2025: Predicting membrane fouling of large-scale membrane bioreactor plants using machine learning
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Presentation at ACS Spring 2025 on membrane fouling predictions for full-scale membrane bioreactor wastewater treatment plants. The ML model was developed using an iterative data denoising algorithm and a custom loss function. The deployed MBR-Net can retrieve historical data and generate real-time fouling predictions in just a few seconds!