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Background
Accurate detection of cracks in concrete and pavement infrastructure is critical for maintaining safety and durability, yet traditional manual inspections are labor-intensive and subjective. Deep learning models offer promise but are hindered by the scarcity of large, diverse, and well-annotated datasets. Existing datasets are limited in...
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Background
Modern compression systems use a set of fixed mathematical tools to remove unnecessary information from each video frame. While these tools work well, they treat most video content in the same way and cannot adapt to the unique characteristics of each scene. As video resolutions, frame rates, and streaming demands continue to increase,...
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Background
Current battery management systems, such as those in electric vehicles, grid storage and consumer electronics, can only estimate bulk metrics like capacity and resistance, which miss key degradation mechanisms. While electrochemical impedance spectroscopy (EIS) provides detailed insight into battery health, it requires specialized hardware...
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