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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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2
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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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3
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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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4
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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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5
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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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6
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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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