Phuc Hao Do

Orcid: 0000-0003-0645-0021

According to our database1, Phuc Hao Do authored at least 9 papers between 2016 and 2024.

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

Timeline

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Links

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Bibliography

2024
A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset.
Proceedings of the 26th International Conference on Advanced Communications Technology, 2024

2023
Leveraging FFT and Hybrid EfficientNet for Enhanced Action Recognition in Video Sequences.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Unveiling the Power of Pretrained Models for Neural Machine Translation in Vietnamese Language: A Comparative Analysis.
Proceedings of the International Conference on Computing and Communication Technologies, 2023

A Horizontal Federated-Learning Model for Detecting Abnormal Traffic Generated by Malware in IoT Networks.
Proceedings of the 25th International Conference on Advanced Communication Technology, 2023

Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2023

2021
An Efficient Feature Extraction Method for Attack Classification in IoT Networks.
Proceedings of the 13th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2021

LoRa Link Quality Estimation Based on Support Vector Machine.
Proceedings of the Distributed Computer and Communication Networks: Control, Computation, Communications, 2021

2016
Marker selection for human activity recognition using combination of conformal geometric algebra and principal component regression.
Proceedings of the Seventh Symposium on Information and Communication Technology, 2016

Feature extraction for classification method using principal component based on conformal geometric algebra.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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