id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
futech-184	Wee, Sherlyn Cheryl May Xin ; Lee, Hui En ; Chua, Hong Siang 	Classification of vanilla by quality using MOS gas sensors: assessing the effectiveness of wavelet time-frequency analyzer	2024	10	.pdf	application/pdf	4034	217	50	To tackle adulteration effectively and economically, this study proposes employing a single-stage classification model trained using the transient response of an electronic nose (e-nose) equipped with four metal oxide semiconductor (MOS) gas sensors with Principal Component Analysis (PCA) and machine learning classification models to sample vanilla from various countries (Indonesia & Madagascar) and grades (Grade A & B). Vanilla samples from Indonesia and Madagascar, categorized into different grades (A and B), have been prepared for this purpose.	cache/futech-184.pdf	txt/futech-184.txt