Philips has introduced Verida, described as the first detector-based spectral CT system fully powered by AI. According to a Nov. 30 news release, Verida integrates AI across the imaging chain, from ...
Abstract: Spectral clustering algorithms rely on graphs where edges are defined based on the similarity between the vertices (data points). The effectiveness and fairness of spectral clustering depend ...
Python API for reading WINISI .cal files (spectral data files used in NIR applications). The feature should enable users to extract spectral data, sample information, and metadata from .cal files. It ...
WEST LAFAYETTE, Ind. — Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality control, and medical diagnostics could benefit from a ...
Abstract: Traditional spectral clustering methods struggle with scalability and robustness in large datasets due to their reliance on similarity matrices and EigenValue Decomposition. We introduce two ...
A startling milestone has been reached in Florida's war against the invasive Burmese pythons eating their way across the Everglades. The Conservancy of Southwest Florida reports it has captured and ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
LOS ANGELES & BENGALURU, India--(BUSINESS WIRE)--Pixxel, a space technology company building the world's highest-resolution hyperspectral satellite constellation, today announced that its three ...
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