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Your search keyword '"Dang, Nhan"' showing total 9 results
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9 results on '"Dang, Nhan"'

6. A Deep Analysis of Printed Image Forensics with Auto Machine Learning.

Author

Nguyen, Phu Q., Dang, Nhan Tam, and Mai, An

Subjects
IMAGE analysis, IMAGE processing, FORENSIC sciences, MACHINE learning
Abstract

This research undertakes an exhaustive exploration of the Auto Machine Learning-based approach (AutoML) to ascertain the source printer for microscopic printed image forensics. The primary focus is on enhancing precision and efficacy in a scenario with limited sample data, achieved by integrating traditional image processing methods with diverse AutoML representatives. The investigation involves a meticulous evaluation and comparative analysis of classical Machine Learning (ML) models and AutoML models in microscopic printed image forensics. Through extensive experiments, we highlight the inherent limitations of traditional models and underscore the compelling advantages offered by AutoML. Notably, we recognize AutoML's unique capability to discern varying degrees of uncertainty within printed patterns. The outcomes emphasize the prowess of Auto Machine Learning in improving the accuracy of printed image forensics, making it particularly promising for future research, especially given the tabular nature of the data and the imperative for a lightweight model suitable for embedded systems. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Chemical Constituents From the Leaves of Grewia bulotGagn. and Their Cytotoxic Activity

Author

Pham, Ty Viet, Ho, Duc Viet, Ngo, Y Duy, Dang, Nhan Thanh Thi, Le, Thang Quoc, The Son, Ninh, Le, Anh Tuan, and Nguyen, Bao Chi

Abstract

Objective:The ultimate objective of this study was to isolate bioactive compounds from Grewia bulotGagn. leaves and evaluate their cytotoxicity against a panel of human cancer cell lines. Methods:Compounds were isolated by column chromatography, whereas their chemical structures were elucidated by NMR spectroscopic data, and literature comparison. The cytotoxic activity of the isolated compounds was assessed using SRB assay against 4 cancer cell lines, including MCF-7 (human breast carcinoma), Hep-G2 (human hepatocellular carcinoma), KB (human carcinoma in the mouth), and SK-LU-1 (human lung carcinoma). Results:From the n-hexane extract, 4 compounds were isolated and identified as taraxerol (1), 3-(E)-coumaroyltaraxerol (2), 3-(Z)-coumaroyltaraxerol (3), and lupeol (4). Additionally, 6 compounds were isolated from the ethyl acetate extract and identified as daucosterol (5), trans-tiliroside (6), inugalactolipid A (7), (3S,5R,6S,7E,9R)-7-megastigmene-3,6,9-triol (8), biphenyl-3,3′,4,4′-tetrol (9), and smiglabrone B (10). Among these isolates, only compound 9exhibited moderate cytotoxic activity against all tested cancer cell lines with the IC50values ranging from 31.67 to 63.15 µM. Conclusion:All these compounds have been detected from G bulotfor the first time, biphenyl-3,3′,4,4′-tetrol (9) emerged as a promising candidate for cancer drug development. This study contributes to the growing body of knowledge regarding natural compounds with anticancer properties.

Published
2024
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