To investigate the intrinsic role of EPS in fouling, a predictive membrane fouling model was developed using a supervised learning algorithm trained on experimental EPS data sets. After hyperparameter ...

In addition, the CAS-DQA model constructs two self-supervised learning (SSL) tasks via intermediate results of visual-textual object alignment. These two tasks exploit the unnoticed objects inside the ...

Architects have a new learning tool for designing resilient, sustainable, and high-performance buildings: The Block Learning Hub. This a free-to-access, dynamic educational platform is designed to ...

The results show that compared with the supervised learning algorithm SCN, MR-SCN maintains high classification accuracy with fewer labeled samples, but its training time increases due to the ...

This research employs seven supervised machine learning classification algorithms and follows a comprehensive methodology that includes data balancing and hyperparameter tuning. To explain the ...

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The self-assemblies of topological complex block copolymers, especially the ABn type miktoarm star ones, are fascinating topics in the soft matter field, which represent typical self-assembly ...

Decision tree We're using an entirely novel integrated supervised learning algorithm developed for this study to effectively handle enormous volumes of survey data. Because it is easy to use and ...

Diagram question answering (DQA), which is defined as answering natural language questions according to the visual diagram context, has attracted attention and has recently become a new benchmark for ...

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