Classification of Starch Adulteration in Milk Using Spectroscopic Data and Machine Learning
Classification of Starch Adulteration in Milk Using Spectroscopic Data and Machine Learning is a scholarly work, published in 2023 in ''Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi''. The main subjects of the publication include data mining, artificial intelligence, computer science, algorithm, food safety, biomedical spectroscopy, chemometrics, machine learning, and DNA barcoding. In this comprehensive research, an in-depth evaluation of several machine learning algorithms, including Multilayer Perceptron, IBk, KStar, M5Rules, and RandomForest, is conducted to ascertain their effectiveness in detecting adulteration in milk products using spectroscopic data.