Guangzhou Key Laboratory for New Energy and Green Catalysis, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China Joint Institute of Guangzhou University & ...

The research team combined density functional theory (DFT) and machine learning (ML ... with a remarkable 95% prediction accuracy in screening optimal catalysts. This ML-driven approach ...

Department of Materials Science and Engineering, University of Toronto, Toronto, Ontario M5S 3E4, Canada Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada ...

Abstract: Many real-world problems involve optimizing numerous decision variables and are expensive to evaluate, known as large-scale expensive optimization problems (LSEOPs). While surrogate-assisted ...

A combined sewer community can leverage the following from machine learning: Algorithm speed can provide a result in seconds compared to traditional models that may require hours or days. The speed of ...

significant scale variations, abundant background noise, and diverse perspectives. These factors lead to insufficient detection accuracy and limited real-time performance in object detection ...