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A study on machine learning-based approaches for early detection of Parkinson’s diseaseParkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the gradual loss of dopaminergic neurons in the brain, leading to both motor and non-motor symptoms. This study... Author: Huong Tran Thi Keyword: Parkinson’s Disease Early Diagnosis Machine Learning XGBoost Random Forest Clinical Data Analysis
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Machine learning-based methods for supporting fake news detectionIn the context of rapidly disseminating online information, fake news has emerged as a serious threat to information security and public trust. Traditional detection methods based on content analysis... Author: Anh Tran Thi Lan Keyword: Fake news detection hypergraph neural networks machine learning graph-based models HGFND
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Factors affecting the effectiveness of students’ competence in using tools and instruments for learning mathematics in general education: an exploratory factor analysis (EFA)This study aims to identify the factors that influence students’ competence in using tools and means for learning mathematics in secondary schools. Survey data were collected from 252 mathematics... Author: Hang Nguyen My, Mai Trần Thị Tuyết Keyword: Tool usage skills exploratory factor analysis mathematics teachers
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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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Using ChatGPT as a writing assistant: benefits and challenges for EFL students at Dong Nai Technology UniversityThis study explores the use of ChatGPT as a writing assistant among English as a Foreign Language (EFL) students at Dong Nai Technology University (DNTU). Focusing on the perspectives of 120... Author: Phan Lam Thi Keyword: ChatGPT Writing tasks AI in education
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Artificial Intelligent applications in crop production: a comprehensive reviewGlobal agriculture faces growing challenges from population growth, climate change, and resource scarcity, demanding innovative solutions for food security and sustainability. Artificial Intelligence... Author: Nguyen Mai Thi Thanh Keyword: Machine learning Artificial Intelligence (AI) Crop improvement Precision agriculture Resource optimization Agriculture sustainability.
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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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Relationship between proactive engagement and learning effectiveness in political theory courses among university students: a survey of universities in Ho Chi Minh cityThis study aims to clarify the relationship between proactive engagement and students’ learning effectiveness in political theory courses at universities in Ho Chi Minh City. Building upon traditional... Author: Phong Nguyen Linh Keyword: Proactive engagement Learning effectiveness Political theory Engagement model University students
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Issues in developing digital competence among primary school teachers in Ho Chi Minh city in the context of digital transformationThis study analyzes the theoretical foundations, investigates the current situation, and proposes measures for developing digital competence among primary school teachers in Ho Chi Minh City in the... Author: Phan Hiệp Thái Keyword: digital competence digital competence development primary school teachers digital transformation
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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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