Abstract: With the rapid deployment of sensitive data of large models in open environments (SDLMIOE), ensuring secure and reliable transmission has become increasingly vital. This study suggests a ...
This project evaluates the performance of the YOLOv8n model in detecting cracks in concrete structures, focusing on the impact of training data quality. The evaluation compares models trained on clean ...
Abstract: Land surface temperature (LST) is a key factor in monitoring and improving thermal environments. However, conventional LST retrieval algorithms have not sufficiently accounted for the cavity ...
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