Iman Rahman
Physicist & AI Researcher | Sensor Systems & Machine Learning
M.Sc. in Physics from Universitas Gadjah Mada specializing in artificial intelligence and electronic nose sensor arrays. Research Assistant at TOR-C UGM and Data Science Mentor at PT Vinix Seven Aurum.
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Rapid Analysis of Meat Floss Origin Using a Supervised Machine Learning-Based Electronic Nose
Discover how a compact, portable electronic nose (e-nose) combined with supervised machine learning achieves over 99% accuracy in identifying the origin of beef, chicken, and pork flosses, offering a rapid and non-destructive solution for food authenticity and preventing food fraud.
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