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Explore ResourcesCongrats Dr Jay Zhang on New Paper "Enhancing Coagulation Prediction in Water Treatment Using a Similarity Score–Based Piecewise Machine Learning Model"
Read More →Congrats Dr Roger Wang on New Paper "Towards Democratized Flood Risk Management: An Advanced AI Assistant Enabled by GPT-4 for Enhanced Interpretability and Public Engagement"
Read More →Congrats Dr Haochen Li on Winning DOE $2.5M Grant for "Nanobubble-Enabled High-Mass Transfer Aeration for Suboxic Biological Process"
Read More →Water Research Foundation Project 5141
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Go to Forum →The ML/AI Applications in Water Engineering Task Committee is dedicated to advancing the integration of Machine Learning (ML) and Artificial Intelligence (AI) technologies within the realm of water engineering. Our primary objective is to facilitate the understanding and adoption of ML/AI tools among engineers working in various domains of water management. Through collaborative efforts, the committee endeavors to bridge the gap between ML/AI tool developers and practitioners in the water engineering sector.
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