Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different sources for numerous tasks, such as reconstruction, classification, and prediction, for next-generation applications. However, the effective fusion and interpretation of these multi-source datasets remain challenging, making it a thriving area of research.
A novel deep learning architecture for multi-source data fusion
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