Assessing the Quality of Dried Squid
ID: b4ab1508-33de-530c-aa0c-a245b7d6ad31
STIX ID: report--b4ab1508-33de-530c-aa0c-a245b7d6ad31
Feed Name: Schneier on Security
This post summarizes a research study applying VIS-NIR (400–1000 nm) hyperspectral imaging combined with deep learning—introducing a 1D KAN-CNN model—to nondestructively assess dried squid quality (fat, protein, and total volatile basic nitrogen) across 93 samples, using CARS, PCA, and SPA to select key wavelengths.
Your team is not currently subscribed to this feed. You must subscribe to it in order to see this post.