Author

Quang Hung Do

Fintech Lab, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam

4 articles in our journals

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Research ArticleOpen accessUnderstanding Artificial Intelligence Adoption in Vietnam: An Organizational-Level AnalysisDuong Quang Khanh, Nguyen Thi Van Anh et al.This study examines the level, determinants, and perceived outcomes of Artificial Intelligence (AI) adoption in Vietnamese organizations using survey data from 142 employees and managers across multiple sectors. Descriptive statistics, t-tests, ANOVA, and multiple regression were applied to analyze sectoral differences, the role of training, and predictors of AI-enabled work performance. The results show a moderate-to-high level of AI adoption, … …Journal of Computer Science, Vol. 22, Issue 5 · 23 May 2026 · 1,542 accessesView PDF Cite

Research ArticleOpen accessFactors Affecting the Selection of B2C E-Commerce Website in Vietnam: A Fuzzy AHP AnalysisQuang Hung Do, Duong Quang Khanh, Nguyen Thai SonThe burgeoning B2C e-commerce landscape in Vietnam necessitates a deeper understanding of customer selection criteria to ensure sustained satisfaction and trust. This study addresses this gap by employing a Fuzzy Analytic Hierarchy Process (FAHP) to evaluate B2C e-commerce platforms in Vietnam. The FAHP facilitates the identification of critical factors and sub-factors influencing online customer satisfaction and website selection. We leverage … …Journal of Computer Science, Vol. 21, Issue 1 · 24 Dec 2024 · 5,232 accessesView PDF Cite

Research ArticleOpen accessPrediction of Data Traffic in Telecom Networks based on Deep Neural NetworksQuang Hung Do, Thi Thanh Hang Doan, Thi Van Anh Nguyen et al.Accurate prediction of data traffic in telecom network is a challenging task for a better network management. It advances dynamic resource allocation and power management. This study employs deep neural networks including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) techniques to one-hour-ahead forecast the volume of expected traffic and compares this approach to other methods including Adaptive Neuro-Fuzzy … …Journal of Computer Science, Vol. 16, Issue 9 · 30 Sep 2020 · 8,059 accessesView PDF Cite

Research ArticleOpen accessForecasting Air Passenger Demand: A Comparison of LSTM and SARIMAQuang Hung Do, Shih-Kuei Lo, Jeng-Fung Chen et al.All airports need to have an accurate prediction of the number of passengers for their efficient management. An accurate prediction of the number of air passengers is crucial task since it provides information for planning decisions in the airport infrastructure to stabilize the service and maximize the profit. This study proposes a novel air passenger demand forecasting model based on … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 8,555 accessesView PDF Cite