id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
globalce-175	Chua, Hui Ling; Huong, Audrey	Deep Learning and Photoacoustic Technology for Microcirculation Classification: Comparison Between Smoking and Nonsmoking Groups	2024	9	.pdf	application/pdf	4825	241	46	The peaks of PA signals are linearly associated with the sample properties, while the temporal characteristic of PA signals would disclose the physiological proper- ties of the tissues. Similar works were carried out by Liakat et al.12 and Sei et al.13; the former developed an in-vivo noninvasive glucose sensor to predict glucose concentration using the least square regression technique and based on the photoacoustic measurement in the skin, whereas the latter study used regression technique to determine blood saturation using PA signals of blood samples.	cache/globalce-175.pdf	txt/globalce-175.txt