Feature extraction for classification method using principal component based on conformal geometric algebra. - Minh Tuan Pham; Phuc Hao Do; Kanta Tachibana (IJCNN, 2016)

Marker selection for human activity recognition using combination of conformal geometric algebra and principal component regression. - Nang Hung Van Nguyen; Minh Tuan Pham; Phuc Hao Do (SoICT, 2016)

LoRa Link Quality Estimation Based on Support Vector Machine. - Van-Dai Pham; Phuc Hao Do; Duc Tran Le; Ruslan Kirichek (DCCN, 2021)

An Efficient Feature Extraction Method for Attack Classification in IoT Networks. - Phuc Hao Do; Truong Duy Dinh; Duc Tran Le; Van-Dai Pham; Lyudmila Myrova; Ruslan Kirichek (ICUMT, 2021)

Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study. - Viet Trung Le; Phuc Hao Do; Sylvestre Uwizeyemungu; Thang Le Dinh; Duc Tran Le (FDSE, 2023)

A Horizontal Federated-Learning Model for Detecting Abnormal Traffic Generated by Malware in IoT Networks. - Phuc Hao Do; Duc Tran Le; Vladimir M. Vishnevsky; Aleksandr Berezkin; Ruslan Kirichek (ICACT, 2023)

Unveiling the Power of Pretrained Models for Neural Machine Translation in Vietnamese Language: A Comparative Analysis. - Phuc Hao Do; Pham Van Quan; Duc Tran Le; Truong Duy Dinh; Nang Hung Van Nguyen; Minh Tuan Pham (RIVF, 2023)

Leveraging FFT and Hybrid EfficientNet for Enhanced Action Recognition in Video Sequences. - Nang Hung Van Nguyen; Phuc Hao Do; Van-Nam Hoang; Aleksandr Borodko; Duc Tran Le (SoICT, 2023)

A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset. - Phuc Hao Do; Duc Tran Le; Vladimir M. Vishnevsky; Aleksandr Berezkin; Ruslan Kirichek (ICACT, 2024)

Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations. - Phuc Hao Do; Duc Tran Le; Truong Duy Dinh; Van-Dai Pham (IEEE Access, 2025)