首页|Data from Panjab University Provide New Insights into Machine Learning (Advancin g Tobacco Authentication Through a Synergistic Approach Using Atr-ftir Spectrosc opy and Machine Learning)
Data from Panjab University Provide New Insights into Machine Learning (Advancin g Tobacco Authentication Through a Synergistic Approach Using Atr-ftir Spectrosc opy and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Chandigarh, India, by New sRx journalists, research stated, “This study investigates thedifferentiation o f cigarette brands through an integration of machine learning algorithms and att enuatedtotal reflectance - Fourier transform infrared (ATR-FTIR) spectroscopy. The spectral properties oftobacco flakes from 180 samples representing nine dif ferent cigarette brands are studied using ATRFTIRspectroscopy.”
ChandigarhIndiaAsiaCyborgsEmergi ng TechnologiesMachine LearningPanjab University
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