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The competency framework for subject group leaders in the context of digital transformation: theoretical foundations and a proposed research modelDigital transformation is generating profound changes in educational governance, requiring the restructuring of competencies among managerial staff at all levels. In this context, subject group... Author: Quyen Le Van, Quang Tran Van, Dien Nguyen Duc Keyword: Subject group leader competency framework digital competence middle leadership digital transformation in education
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Some factors affecting the effectiveness of policy implementation on training and fostering Khmer civil servants in the Mekong Delta, VietnamThe capacity of Khmer cadres and civil servants in the Mekong Delta plays an essential role in implementing the State's policies. The training and retraining of this contingent play a vital role in... Author: Phan Tuan Van Keyword: factors policies training fostering civil servants Khmer
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Current status of managing professional capacity development activities for teachers in Ho Chi Minh city primary schools to meet the 2018 General Education ProgramManaging professional capacity development activities for primary school teachers is one of the factors to ensure the successful implementation of the 2018 General Education Program. This article... Author: Phan Hiệp Thái Keyword: Professional capacity professional capacity development status of management of professional capacity development activities primary school teachers.
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The role of storytelling in developing English listening comprehension skills of primary school students - a case study at Vo Thi Sau primary school in Dong Nai provinceThis study examines the role of storytelling in enhancing English listening comprehension skills among students at Vo Thi Sau Primary School. Using a case study approach, the research was conducted... Author: Trịnh Tuyền Vũ Thanh Keyword: Storytelling listening comprehension primary school students English as a foreign language
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Coastal urban development in the context of international integration: a case study of Cua Lo, Nghe An provinceThis article aims to clarify the process of formation and development of the coastal urban area of Cua Lo in the context of international integration. Based on an analysis of the development of... Author: Phạm Thanh Thị Hoài Keyword: urban area coastal city Cửa Lò coastal city integration sustainable development
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Intrusion detection in network systems using transformer based approachThe growing complexity of modern network infrastructures, driven by cloud computing, IoT, and 5G, poses significant challenges for traditional Intrusion Detection Systems (IDS), which often fail to... Author: Ngo Hoa Thi Keyword: Transformer Intrusion Detection Cybersecurity Network Traffic Deep Learning Anomaly Detection
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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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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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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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