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Generating random terrains in 3D games by an approximated version of Gaussian processCreating a 3D terrain or a wave surface takes a lot of time for a graphic artist in the 3D game creation process. This problem poses the following computer requirements: the generated terrain surface... Author: Vo Van Nhan, Viet-Hung Dang Keyword: Gaussian process (GP); 3D terrain.
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Network community detection based on the angle between two vectorsRecently, the problem of community detection has attracted the attention of many scientists. Most types of networks such as computer networks, biological networks and social networks, have a community... Author: Trung Lai Van, Nguyễn Giang Thị Thanh Keyword: Community network random walk coordinates cosine algorithm undirected graph modularity.
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Network community detection based on improving vertex coordinates
In recent years, with the strong development of information technology, detecting communities in large real networks is a very important issue which is of interest to many scientists. Community... Author: Trung Lai Van, Nguyễn Giang Thị Thanh Keyword: Community detection random walk coordinates distance modularity
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Research the construction of a transparent object recognition model using computer vision
and artificial intelligenceThe article focuses on researching the construction of a transparent object (glass) recognition model based on the application of computer vision techniques and artificial intelligence models. Stereo... Author: Ha Dien Thi Hong Keyword: Object recognition transparent objects computer vision depth image artificial intelligence
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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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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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A note on matchings and regularity of graphsLet G be a simple graph. We introduce the notion of comb-match(G), and prove that reg(I(G)) ⩽ comb-match(G)+1. This improves some known bounds. Author: Ha Dao Thi Thanh Keyword: Regularity Edge ideal Matching Cameron-Walker graph.
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MEASURES FOR DEVELOPING STUDENTS' REVERSIBLE THINKING COMPETENCE IN TEACHING FUNCTIONS AND GRAPHS IN HIGH SCHOOLS
The reversible thinking is the way of thinking in two opposite directions, which then support each other to help people perceive and solve problems flexibly and effectively. In this article, we... Author: Lam Thai Thi Hong Keyword: Reversible thinking competence; functions and graphs.
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