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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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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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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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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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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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The results of culture snub-nose pompano (Trachinotus blochii Lacépède, 1801) in the “in Pond Raceway System” in Khanh Hoa provinceThe study aims to evaluate the environmental parameters and growth rate of snu-bnose pompano cultured in the “In Pond Raceway System - IPRS”. Fingerlings 5-6 cm in length were stocked at a density of... Author: Hà Nguyen Văn, Thiết Chu Chí, Dung Nguyen Thanh, Thảo Nguyen Thi Huong, Tan Tran Trong, Dang Nguyen Van, Bao Nguyen Tan Keyword: Snub-nose pompano In Pond Raceway System IPRS environmental parameters growth
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Analyzing the impact of network failures on the routing performance of OSPF and EIGRPRouting reliability is essential for maintaining service continuity in enterprise IP networks, particularly under failure conditions. Among interior gateway protocols, Open Shortest Path First (OSPF)... Author: Hoan Tran Quoc Keyword: OSPF EIGRP Network failures Convergence time Routing performance
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Context representation for LLM based code generation in visual studio: a systematic reviewThe rapid proliferation of large language models (LLMs) is creating new opportunities for automated code generation in integrated development environments (IDEs). However, the effectiveness of these... Author: Nguyen Dung Thi, Doan Phuong Ngoc, Nguyen Phuong Thu, Nguyen Oanh Lan Keyword: Context aware code generation Large Language Models Integrated Development Environments Systematic literature review PRISMA
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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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