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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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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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3
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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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Trust-aware blockchain-assisted multi-agent DRL for secure and scalable routing in IoT-enabled MANETsThis paper proposes a trust-aware blockchain-assisted multi-agent deep reinforcement learning (MADRL) framework for secure and scalable routing in IoT-enabled Mobile Ad Hoc Networks (MANETs) under... Author: Phuong Hoang Thi Keyword: IoT networks Secure routing Blockchain Multi-agent deep reinforcement learning (MADRL) Double Deep Q-Network (DDQN)
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5
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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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7
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Lightweight DAG-blockchain framework for trust management in edge-assisted VANETsHighly dynamic topology and unreliable vehicular behaviors remain major challenges for blockchain-enabled trust management in Vehicular Ad Hoc Networks (VANETs). Conventional blockchain schemes often... Author: Hang Dao Thi, Phi Pham Van, Hien Tran Thi Keyword: VANET DAG Blockchain Trust management Edge-assisted networks Mobility-aware trust
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Developing high-quality human resources for sustainable development in the North Central regionDeveloping high-quality human resources is a strategic requirement to promote sustainable development in the North Central region in the context of international integration and digital... Author: Sơn Hồ Thái Keyword: High-quality human resources Sustainable development North Central Region Human resource development policy Regional economic development
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9
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Explore the historical materialist perspective on the alienation of labour in the current digital age
This article examines the phenomenon of labour alienation in the digital age from the perspective of historical materialism, taking the contradiction between modern productive forces (Artificial... Author: Nguyen Van Sang Keyword: Labor Alienation Historical Materialism Digital Age Big Data and AI Artificial Intelligence
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Strategies for enhancing the competitive advantage of Vietnamese steel export enterprises underthe impact of the carbon border adjustment mechanism: the role of dynamic capabilities, technological innovation, green innovation and institutional factorThis study explores the implications of the Carbon Border Adjustment Mechanism (CBAM) for the competitive advantage of Vietnamese steel-exporting enterprises, emphasizing the mediating roles of... Author: Tran Ngoc Hong, Pham Mai Tien Thuy Keyword: Carbon Border Adjustment Mechanism competitive advantage green innovation institution technological innovation
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