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The role of storytelling in developing English listening comprehension skills of primary school students - a case study at Vo Thi Sau primary school in Dong Nai provinceThis study examines the role of storytelling in enhancing English listening comprehension skills among students at Vo Thi Sau Primary School. Using a case study approach, the research was conducted... Author: Trịnh Tuyền Vũ Thanh Keyword: Storytelling listening comprehension primary school students English as a foreign language
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Factors affecting the improvement of confidence in weapons and technical equipment among students in military technical schools todayIn the context of rapid technological advancement and the ongoing modernization of the military, fostering confidence in weaponry and technical equipment (WTE) among students at military technical... Author: Trần Hiển Minh Keyword: confidence weapon systems military technical education military cadet
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The current situation of applying innovation management theory in the assessment of student learning outcomes in primary schools in Pho Yen city, Thai Nguyen provinceInnovation management theory has been successfully applied in the management and development of many economic and educational organizations. In Vietnam, researchers have been interested in leadership... Author: Tuấn Lê Anh Keyword: Change management assessment learning outcomes
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Applying the flipped classroom model to enhance the effectiveness and quality of teaching the “Database fundamentals” course at the University of Information and Communication Technology, Thai Nguyen UniversityThe article presents the process of applying the Flipped classroom model alongside traditional teaching methods during the teaching of the Database fundamentals course at the Thai Nguyen University of... Author: Trang Le Thu Keyword: Flipped Classroom teaching Model database Thai Nguyen University of Information and Communication Technology
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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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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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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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GNN-enhanced multi-agent DRL for adaptive anti-jamming routing in MANETsThis paper proposes a GNN-enhanced multi-agent deep reinforcement learning framework for antijamming routing in mobile ad hoc networks. The approach combines temporal graph representations with... Author: Hanh Vu My, Oanh Le Thi Kieu Keyword: MANET Anti-jamming Graph Neural Networks (GNN) Multi-Agent Reinforcement Learning (MARL) Adversarial Learning
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TFC-MAL: application of Triplet Loss for malware detection based on image representationDetecting polymorphic and zero-day malware remains a significant challenge due to the high similarity in characteristics between malicious variants and benign files, which reduces the effectiveness of... Author: Mai Dang Thi, Hien Dinh Cong Keyword: Malware detection Image-based malware analysis deep learning Triplet Loss zero-day malware
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