Recognition of microplastic aging features based on multimodal data fusion and attention mechanisms
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Microplastics undergo complex physicochemical changes during aging, which traditional single-modality methods struggle to explain. We analyzed 1371 samples across seven aging types using a deep learning model integrating SEM images and FT-IR data via multimoda... ...
