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183 results on '"Dang, Nhan"'

11. Sentiment Analysis Based on Deep Learning: A Comparative Study

Author

Dang, Nhan Cach, Moreno-García, María N., and De la Prieta, Fernando

Subjects
Computer Science - Computation and Language, Computer Science - Information Retrieval, Computer Science - Machine Learning
Abstract

The study of public opinion can provide us with valuable information. The analysis of sentiment on social networks, such as Twitter or Facebook, has become a powerful means of learning about the users' opinions and has a wide range of applications. However, the efficiency and accuracy of sentiment analysis is being hindered by the challenges encountered in natural language processing (NLP). In recent years, it has been demonstrated that deep learning models are a promising solution to the challenges of NLP. This paper reviews the latest studies that have employed deep learning to solve sentiment analysis problems, such as sentiment polarity. Models using term frequency-inverse document frequency (TF-IDF) and word embedding have been applied to a series of datasets. Finally, a comparative study has been conducted on the experimental results obtained for the different models and input features

Published
2020
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12. Auto Machine Learning-Based Approach for Source Printer Identification

Author

Vo, Phu-Qui, Dang, Nhan Tam, Nguyen, Q. Phu, Mai, An, Nguyen, Loan T. T., Nguyen, Quoc-Thông, Nguyen, Ngoc-Thanh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Szczerbicki, Edward, editor, Wojtkiewicz, Krystian, editor, Nguyen, Sinh Van, editor, Pietranik, Marcin, editor, and Krótkiewicz, Marek, editor

Published
2022
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14. 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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18. Sharing Secured Data on Peer-to-Peer Applications Using Attribute-Based Encryption

Author

Dang, Nhan Tam, Nguyen, Van Sinh, Le, Hai-Duong, Maleszka, Marcin, Tran, Manh Ha, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nguyen, Ngoc Thanh, editor, Hoang, Bao Hung, editor, Huynh, Cong Phap, editor, Hwang, Dosam, editor, Trawiński, Bogdan, editor, and Vossen, Gottfried, editor

Published
2020
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29. Framework for Retrieving Relevant Contents Related to Fashion from Online Social Network Data

Author

Dang, Nhan Cach, De la Prieta, Fernando, Corchado, Juan Manuel, Moreno, María N., Kacprzyk, Janusz, Series editor, de la Prieta, Fernando, editor, Escalona, María J., editor, Corchuelo, Rafael, editor, Mathieu, Philippe, editor, Vale, Zita, editor, Campbell, Andrew T., editor, Rossi, Silvia, editor, Adam, Emmanuel, editor, Jiménez-López, María D., editor, Navarro, Elena M., editor, and Moreno, María N., editor

Published
2016
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30. Cost Analysis of Implementing an Exercise Program for Fall and Fracture Prevention in Older Adults on Proton Pump Inhibitor Therapy

Author

Wichelmann, Thomas Adam, Dang, Nhan, Kruchko, David H., Abdulmujeeb, Sufyan, and Ehrenpreis, Eli D.

Subjects
General Medicine, Original Research
Abstract

PURPOSE: Falls have significant financial impact. Proton pump inhibitor (PPI) therapy is associated with an increased risk of falls and fractures. Exercise programs have been shown to decrease risk of falls in the elderly population and are recommended by the U.S. Preventive Services Task Force for patients over age 65 to reduce falls. Our study aimed to explore the potential financial benefit of implementing three different Centers for Disease Control and Prevention-recommended exercise-based interventions for fall prevention (Tai Chi, Stepping On, and Otago Exercise Program) in ≥65-year-old patients on PPI therapy. METHODS: A Markov model was developed to predict the financial implications of fall-related outcomes in the study population. Net cost of the intervention was deducted from the financial savings predicted for fall avoidance relative to the fall reduction conferred by the intervention. Sensitivity analysis was performed on a range of odds ratios between falling and PPI use. RESULTS: Exercise-based interventions were found to offer financial savings when fall reduction rates exceeded 5%, irrespective of variable odds ratios between PPI use and fall rate. Hypothetical implementation of an exercise-based intervention for PPI users ≥65 years of age was estimated to result in annual fall- and fracture-related savings ranging from $10,317.35 to $18,766.28 per individual. Findings suggested an estimated annual reduction in U.S. health care costs of $18 billion to $85 billion. CONCLUSIONS: Implementing an exercise-based fall prevention program for elderly PPI users represents a possible strategy to mitigate health care costs in the United States. Future prospective studies are recommended.

Published
2022

32. Progress Guarantees When Composing Lock-Free Objects

Author

Dang, Nhan Nguyen, Tsigas, Philippas, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Jeannot, Emmanuel, editor, Namyst, Raymond, editor, and Roman, Jean, editor

Published
2011
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36. Semantic Web Service Composition System Supporting Multiple Service Description Languages

Author

Dang, Nhan Cach, Le, Duy Ngan, Quan, Thanh Tho, Nguyen, Minh Nhut, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Nguyen, Ngoc Thanh, editor, Le, Manh Thanh, editor, and Świątek, Jerzy, editor

Published
2010
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45. sj-docx-1-npx-10.1177_1934578X221125433 - Supplemental material for Volatile Constituents and Anti-Osteoporotic Activity of the n-Hexane Extract From Homalomena gigantea Rhizome

Author

Pham, Ty Viet, Ngo, Hang Phuong Thi, Thi Thanh Dang, Nhan, Khoa Nguyen, Hien, Thi Nhu Hoang, Hanh, and Pham, Thanh

Subjects
FOS: Clinical medicine, 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
Abstract

Supplemental material, sj-docx-1-npx-10.1177_1934578X221125433 for Volatile Constituents and Anti-Osteoporotic Activity of the n-Hexane Extract From Homalomena gigantea Rhizome by Ty Viet Pham, Hang Phuong Thi Ngo, Nhan Thi Thanh Dang, Hien Khoa Nguyen, Hanh Thi Nhu Hoang and Thanh Pham in Natural Product Communications

Published
2022
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46. Chemical constituents and anti-inflammatory activity of the essential oil from the leaves of Ardisia sadirioidesC. M. Hu & L. K. Phan growing in Vietnam

Author

Le, Thang Quoc, Pham, Ty Viet, Dang, Nhan Thi Thanh, and Tran, Tien Dong

Abstract

AbstractArdisia sadirioidesC. M. Hu & L. K. Phan (A. sadirioides) belongs to the Myrsinaceae family, which was first discovered and recorded in Central Vietnam in 2012. There have been no reports on the chemical constituents as well as the biological activity of A. sadirioides. This research aims to identify the chemical compositions and anti-inflammatory activity of the essential oil from the leaves of A. sadirioides. The chemical constituents of the essential oil from the leaves of this species were analyzed by Gas Chromatography-Mass Spectrometry (GC-MS). Thirty compounds were identified corresponding to 93.38% of the oil content; the main compounds found in the essential oil included methyl salicylate (20.62%), palmitic acid (16.01%), and propylcyclopropane (4.94%). Furthermore, the anti-inflammatory activity of the essential oil on Lipopolysaccharide-induced RAW264.7 macrophage cells was investigated by measuring the production of pro-inflammatory cytokine (nitric oxide, NO). The screening for anti-inflammatory activity showed that the essential oil had anti-inflammatory effect as measured by inhibition of NO production with an IC50value of 19.13 ± 1.01 μg/mL.

Published
2023
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