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Facial emotion recognition using deep learning technologyRecognizing emotions on human faces has always received attention and attraction from researchers. Along with the development of artificial intelligence, facial emotion recognition cameras are... Author: Hoa Nguyen Thi Thu, Ngo Huu-Huy, Tuyen Giap Manh, Duong Nong Van, Oanh Nguyen Thi Kieu Keyword: DeepFace Facial Emotion Recognition FER-2013 MTCNN VGG-Face
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Overview of artificial intelligence applications in developing digital learning resourcesDeveloping digital learning materials, especially video lectures, is becoming an important issue in education. The emergence of artificial intelligence (AI) has made the creation of videos easier... Author: Huế Lương Thị Minh, Vinh Nguyen The, Son Nguyen Kim, Viet Nguyen Van, Phuong Do Thi, Huong Duong Thuy Keyword: artificial intelligence video education materials prisma
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Sentence representation using LSTM for finding questionLearning sentence representation with the full semantics of a document is a challenge in natural language processing problems because if the semantic representation vector of the sentence is suitable,... Author: Linh Dinh Khanh, Huy Tran Quang Keyword: LSTM NLPDeep learning QACQA learning sentence representation
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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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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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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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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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Distributed graph neural network-based anti-jamming for scalable and energy-constrained IoT networksThis paper presents a distributed graph neural network (GNN) framework for anti-jamming in large-scale IoT systems with dynamic interference and strict energy constraints. The proposed approach... Author: Hue Tran Thi Keyword: Distributed graph neural networks Anti-jamming communications Internet of Things Energy-efficient networking Scalable wireless networks
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Exploring the factors influencing motivation in IELTS learning among students at Vinh UniversityThis study explores the factors influencing IELTS (International English Language Testing System) learning motivation among university students in Vietnam. A quantitative approach was employed, with... Author: Nguyen Ngoc Bich, Van Quynh Nguyen Thi, Hong Suong Nguyen Thi, Ngan Dang Bao, Hien Nguyen Minh Keyword: IELTS motivation university students English language learning second language acquisition learner motivation Vietnamese context
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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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