AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...
A video on TikTok in October appeared to show a woman being interviewed by a television reporter about food stamps. The women weren’t real. The conversation never happened. Generated by A.I. The video ...
Inter President Beppe Marotta has explained why Serie A is a ‘limiting’ league in terms of opportunities on the transfer market, as he doubles down on his stance that the Italian top flight is a ...
Abstract: Limited by the lack of supervisory information of unknown classes, the existing open set cross-domain hyperspectral image (HSI) classification methods often rely on threshold-based methods ...
Abstract: Hyperspectral image (HSI) classification presents inherent challenges due to high spectral dimensionality, significant domain shifts, and limited availability of labeled data. To address ...
Our methodology demonstrates a proof of concept of the applicability of transfer learning for heliophysics, a machine learning technique where knowledge learned from one task is reused to perform a ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Biophotonic technologies such as Raman spectroscopy are powerful tools for obtaining ...
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