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Assessing the clinical reliability of deep learning models in breast thermography: an exploratory study using explainable AIInfrared thermography is a promising non-invasive modality for breast cancer screening. However, ensuring the clinical reliability of deep learning models under small-data conditions remains... Author: Dung Tran Ngoc, Son Pham Nam, Binh Do Khoa, Nam Le Hai, Hoang Nguyen Minh, Hoc Pham Xuan Keyword: breast cancer diagnosis infrared thermography deep learning Explainable AI (XAI) Clinical reliability Model interpretability
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Intrusion detection in network systems using transformer based approachThe growing complexity of modern network infrastructures, driven by cloud computing, IoT, and 5G, poses significant challenges for traditional Intrusion Detection Systems (IDS), which often fail to... Author: Ngo Hoa Thi Keyword: Transformer Intrusion Detection Cybersecurity Network Traffic Deep Learning Anomaly Detection
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An effective malware classification method based on byte-to-image transformation and integration of the vision transformer modelMalware classification is a critical problem in cybersecurity, characterized by numerous challenges due to the complexity and diversity of malware variants. In this study, we propose a novel approach... Author: Thuy Nguyen Thi Thu, Linh Do Thi Hong, Ha Hoang Thi Hong, Cuc Pham Thi, Binh Pham Anh Keyword: Malware Classification Vision Transformer (ViT) Bytecode Image Representation Deep Learning Self-Attention
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4
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Real-time pothole detection and multi-class classification for intelligent transportation systems using YOLOv8Potholes are among the most common and hazardous types of pavement defects, significantly impacting road safety, vehicle durability, and infrastructure maintenance costs. This study proposes an... Author: Tran Long Van, Vinh Nguyen The Keyword: Pothole detection YOLOv8 Computer vision Deep learning Autonomous vehicles Smart transportation
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A hybrid LightGBM-LSTM machine learning model for short-term water level forecasting in the Mekong River BasinAccurate short-term forecasting of river water levels plays an important role in flood risk management and water resource planning. This study proposes a hybrid forecasting framework that integrates... Author: Dũng Nguyễn Đình, Trinh Nguyen Hien Keyword: Machine learning models Time series forecasting LightGBM LSTM Hybrid model Mekong river
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Rethinking teacher education in the digital transformation era: evidence from Dong Nai University, VietnamThe rapid digitization of education has necessitated a paradigm shift in teacher preparation programs worldwide. Future educators are required not only to possess solid subject knowledge but also to... Author: Nguyen Loan Thi Keyword: Teacher education digital transformation educational technology Dong Nai University; future educators
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Phishing email detection using temporal behavioral modeling and transformer architecturesThis study addresses the challenge of effectively detecting phishing email campaigns that exhibit increasingly sophisticated and sequential behaviors. The primary objective is to develop a detection... Author: Hien Dang Thi, Duyen Tran Thi Keyword: Phishing detection email security temporal analysis transformer models multi-email sequence analysis BiLSTM urgency score suspicious score
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Applying the Autoencoder model for URL phishing detectionIn the era of digital transformation, alongside the rapid devel-opment of the Internet and online applications, phishing at-tacks targeting users through malicious URLs have been in-creasingly... Author: Mai Dang Thi Keyword: URL Phishing detection Autoencoder latent space
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Developing a product rating prediction model based on customer text feedback using machine learning algorithmsThis study focuses on predicting product rating scores from customer text feedback. This task combines the challenges of natural language processing (NLP) with the class imbalance phenomenon commonly... Author: Ha Dien Thi Hong Keyword: Product rating prediction customer text feedback natural language processing (NLP) machine learning models model performance evaluation
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Exploring EFL students’ attitudes and experiences with self- and peer-assessment in writingWriting is a core skill in English as a Foreign Language (EFL) learning, requiring learners to develop accuracy, coherence, and critical reflection. This study investigates the attitudes and... Author: Phan Lam Thi Keyword: Self-assessment Peer-assessment Writing skills Learner attitudes
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