Posts by Collection

A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems

Published in 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022

This paper presents a comprehensive comparison between feature selection and feature extraction techniques in network intrusion detection systems.

Recommended citation: Vuong Tuan-Cuong, Tran Hung, Trang Mai Xuan, Ngo Vu-Duc, Luong Thien Van. (2022). "A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems." 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1798-1804.
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Machine learning-based intrusion detection: feature selection versus feature extraction

Published in Cluster Computing, 2023

This paper explores the comparative effectiveness of feature selection and feature extraction techniques in machine learning-based network intrusion detection systems.

Recommended citation: Ngo Vu-Duc, Vuong Tuan-Cuong, Van Luong Thien, Tran Hung. (2023). "Machine learning-based intrusion detection: feature selection versus feature extraction." Cluster Computing, pp. 1-15.
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BERT-VBD: Vietnamese Multi-Document Summarization Framework

Published in CITA 2024: The 13th Conference on Information Technology and its Applications, 2024

This paper introduces BERT-VBD, a novel framework for Vietnamese multi-document summarization.

Recommended citation: Vuong Tuan-Cuong, Trang Mai Xuan, Luong Thien Van. (2024). "BERT-VBD: Vietnamese Multi-Document Summarization Framework." CITA 2024: The 13th Conference on Information Technology and its Applications, pp. 1798-1804.
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Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach

Published in 2024 International Symposium on Nonlinear Theory and Its Applications, 2024

This paper presents an effective intrusion detection system for UAV communications leveraging autoencoder-based feature extraction techniques.

Recommended citation: Vuong Tuan-Cuong, Cong Chi Nguyen, Pham Van-Cuong, Le Thi-Thanh-Huyen, Tran Xuan-Nam, Luong Thien Van. (2024). "Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach." 2024 International Symposium on Nonlinear Theory and Its Applications, pp. 798-804.
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A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems

Published: November 25, 2022

I presented our research on comparing feature selection and feature extraction techniques in network intrusion detection systems at the 2022 APSIPA ASC conference in Bangkok, Thailand. This talk showcased our comprehensive evaluation of dimensionality reduction approaches for enhancing cybersecurity systems.

Introduction to Artificial Intelligence

Undergraduate course, Phenikaa University, Department of Computer Science, 2023

This undergraduate course provides a comprehensive introduction to artificial intelligence concepts and their real-world applications. The course is designed to bridge theoretical foundations with practical implementations, giving students both conceptual understanding and hands-on experience.

Machine Learning: Focus on Feature Extraction Techniques

Graduate course, National Economics University (NEU), Department of Computer Science, 2024

This graduate-level course delves into machine learning with a special emphasis on feature extraction techniques. The curriculum explores both theoretical foundations and practical applications, particularly highlighting how effective feature extraction can significantly improve model performance.