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Researching and developing a smart lock system applying artificial intelligenceThis paper focuses on researching and developing a smart security lock system using artificial intelligence, specifically facial recognition technology combined with the Internet of Things (IoT) to... Author: Hien Tran Thi, Hang Dao Thi, Phi Pham Van Keyword: Artificial Intelligence Face Recognition Raspberry Pi Smart Lock Internet of Things
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Building STEM topics in Blended learning about energy to contribute to sustainable development educationWith the goal of education aimed at sustainable development as reflected in the 2018 General Education Program, schools in general and the subject of physics in particular need to educate students to... Author: HAI TUONG DUY, Anh Chu Ngoc, Thuy Tran Thanh, Chi Pham Khanh, Phuong Dang Minh, Nga Bui Thuy Keyword: STEM education energy Blended Learning sustainable development education
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Building physic educational stories to support teaching thematic “Gravitational fieldThe research aims to build learning materials to support capacity development teaching for high school students in the thematic “Gravitational field” in Physics 11, following the orientation of The... Author: HAI TUONG DUY, Anh Tu Phuong, Dương Tran Anh, Diem Quynh Vu Thi Keyword: Gravitational field physics educational comics Physics 11
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Adaptive Reflection Control for Anti-Jamming Backscatter Communication under Dynamic InterferenceBackscatter communication is a key enabling technology for ultra-low-power Internet of Things (IoT) systems; however, the inherently weak reflected signals make the communication links highly... Author: Hiep Le Hoang, Tran Minh Duy Keyword: Anti-jamming backscatter communication Adaptive reflection control Interference-resilient IoT networks Dynamic jamming mitigation Energy-efficient backscatter systems
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An Efficient TinyML Framework for Real-Time Sensor Data ProcessingThe rapid growth of real-time sensor applications in edge environments requires efficient data processing under strict resource constraints. This paper proposes a TinyML-based framework that... Author: Kiên Phạm Xuân Keyword: TinyML Edge Computing Real-Time Processing Model Optimization Resource-Constrained Systems Computational Efficiency
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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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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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Joint power control and spectrum access optimization in FANET via reinforcement learningThis paper studies joint power control and spectrum access in dynamic flying ad hoc networks (FANETs) under co-channel interference and adaptive jamming. We propose a graph neural network-aided... Author: Dung Nguyen Thi Keyword: FANET Multi-agent reinforcement learning Graph neural networks Anti-jamming Resource optimization
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Risk-sensitive spatio-temporal graph reinforcement learning for predictive and propulsion-aware routing in 6G-enabled FANETsFlying ad hoc networks (FANETs) in 6G environments require routing schemes that can cope with rapid topology changes, limited UAV energy resources, and unstable air-to-air links. This paper proposes a... Author: Nguyen Thu Thi Keyword: 6G-enabled FANETs Spatio temporal graph learning Risk sensitive deep reinforcement learning Propulsion aware routing Route survival probability
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Overview study of mobile network traffic for BTS stationsIn recent years, Machine Learning (ML) has become a crucial and promising tool for forecasting and solving a wide range of complex problems. The rapid development of machine learning is closely linked... Author: Thuc Hoang Van, Thang Vu Chien, Nam Pham Thanh, Thao Doan Thi Thanh, Ngoc Pham Van, Phuong Mac Thi Keyword: 5G Traffic base station BTS for 5G Network 5G/BTS Traffic 5G Traffic
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