Ngoc Phien Nguyen

Orcid: 0000-0001-9152-6208

Affiliations:
  • Ton Duc Thang University, Faculty of Information Technology, Center for Applied Information Technology, Ho Chi Minh City, Vietnam


According to our database1, Ngoc Phien Nguyen authored at least 13 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Systematic Survey on Privacy-Preserving Architectures for IoT and Vehicular Data Sharing: Techniques, Challenges, and Future Directions.
CoRR, March, 2026

SecureWearTrade: A comprehensive blockchain-enabled IoT framework for secure personal data trading from wearable devices.
Pervasive Mob. Comput., 2026

POP2TIC: Performance optimization for privacy-preserving fog computing using TEE and intelligent caching.
J. Netw. Comput. Appl., 2026

LiteFormer: A lightweight encoder-only Transformer for efficient financial time series forecasting across global stock indices.
Eng. Appl. Artif. Intell., 2026

PrivacyGuard: A hierarchical privacy-preserving framework for IoT-fog-cloud architectures.
Comput. Networks, 2026

Graph Neural Networks for Collaborative Filtering: A Survey on Ranking Prediction.
IEEE Access, 2026

2025
CI2P-MedHFDroid: a context-aware individual privacy preferences model for medical, health & fitness android apps.
Int. J. Inf. Sec., August, 2025

Advances in Machine Learning Framework for Near-Infrared Spectroscopy: A Taxonomic Review on Food Quality Assessment.
Informatica (Slovenia), 2025

2023
Strategies of Multi-Step-ahead Forecasting for Chaotic Time Series using Autoencoder and LSTM Neural Networks: A Comparative Study.
Proceedings of the 5th International Conference on Image Processing and Machine Vision, 2023

2021
A Comparison between Deep Belief Network and LSTM in Chaotic Time Series Forecasting.
Proceedings of the MLMI 2021: The 4th International Conference on Machine Learning and Machine Intelligence, Hangzhou, China, September 17, 2021

2019
An Efficient Method for Discovering Variable-length Motifs in Time Series based on Suffix Array.
Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

2018
An Efficient Method for Estimating Time Series Motif Length Using Sequitur Algorithm.
Proceedings of the Machine Learning and Intelligent Communications, 2018

2016
A Data Mining-Based Approach for Exploiting the Characteristics of University Lecturers.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2016


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