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检索条件"机构=Graduate Program in Computer Engineering"
2056 条 记 录,以下是451-460 订阅
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Capacity Planning of Access Point Deployment for Indoor Positioning System
Capacity Planning of Access Point Deployment for Indoor Posi...
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2021 International Conference on Power, Energy and Innovations, ICPEI 2021
作者: Thitinaruemit, Aphirak Sitjongsatapom, Suchada Prongnuch, Sethakarn Mahanakorn University of Technology The Electrical Engineering Graduate Program Faculty of Engineering and Technology Bangkok Thailand Faculty of Engineering and Technology Dept. of Electronic Engineering Bangkok Thailand Suan Sunandha Rajabhat University Faculty of Industrial Technology Dept. of Computer Engineering Bangkok Thailand
This paper present the network design and capacity planning of access point (AP) deployment for indoor positioning system. The estimation of WiFi distance is described briefly how to measure the signal strength of AP.... 详细信息
来源: 评论
Optimization of Node Reduction Using BRKGA for GNN-Based Traffic Speed Forecasting
Optimization of Node Reduction Using BRKGA for GNN-Based Tra...
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Congress on Evolutionary Computation
作者: Yuto Inokuchi Pedro Henrique González Israel Mendonça Masayoshi Aritsugi Graduate School of Science and Technology Kumamoto University Kumamoto Japan System Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan
While Spatio-Temporal Graph Convolutional Networks (STGCNs) are an effective method for traffic speed fore-casting, their training and inference tend to be time-consuming. In this paper, we aim to refine these network... 详细信息
来源: 评论
Efficient Node Reduction Heuristic for GNN-Based Traffic Speed Forecasting
Efficient Node Reduction Heuristic for GNN-Based Traffic Spe...
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IEEE/ACM International Symposium on Big Data Computing (BDC)
作者: Yuto Inokuchi Pedro Henrique González Masayoshi Aritsugi Israel Mendonça Graduate School of Science and Technology Kumamoto University Kumamoto Japan System Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan
In this paper, we aim to reduce the number of nodes from Graph Neural Networks (GNNs), thereby simplifying models and reducing computational costs. GNNs are highly effective for various tasks, such as prediction, clas... 详细信息
来源: 评论
Efficient Hyperparameter Optimization Using Deep Q-Network and BRKGA
Efficient Hyperparameter Optimization Using Deep Q-Network a...
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Congress on Evolutionary Computation
作者: Kosei Kobayashi Masayoshi Aritsugi Pedro Henrique González Israel Mendonça Graduate School of Science and Technology Kumamoto University Kumamoto Japan Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan System Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil
Hyperparameter optimization (HPO) is paragon to maximize performance when designing machine learning models. Among different HPO methods, Genetic Algorithm (GA) based optimization is considered effective because it al... 详细信息
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Deep Reinforcement Learning for Mapless Robot Navigation Systems
Deep Reinforcement Learning for Mapless Robot Navigation Sys...
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IEEE Latin American Robotics Symposium, LARS
作者: Iure Rosa L. Oliveira Alexandre S. Brandão Department of Electrical Engineering Graduate Program in Computer Science Núcleo de Especialização em Robótica (NERo) Universidade Federal de Viçosa Viçosa MG Brazil
DRL has emerged as a promising approach for mobile robot navigation in unknown environments without a prior map. However, the performance of DRL methods for this task varies greatly, depending on the choice of algorit...
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Estimating the 3D center point of an object with Kinect sensor RGB-D images
Estimating the 3D center point of an object with Kinect sens...
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IEEE Latin American Robotics Symposium, LARS
作者: Gustavo Fardo Armênio João Alberto Fabro Renzo De Rosa Tognella Felipe Pierre Conter Marlon Vaz De Oliveira Everson De Souza Silva Computer Engineering Course - UTFPR Curitiba PR Brazil PPGCA-Graduate Program on Applied Informatics UTFPR-Federal University of Technology - Paraná Curitiba PR Brazil Information System Course - UTFPR Curitiba PR Brazil UNILA - University of Latin American Integration Foz do Iguaçu PR Brazil CPGEI-Graduate Program on Electrical Engineering and Industrial Informatics/UTFPR IFPR- Federal Institute of Technology - Paraná Pinhais PR Brazil PPGCA-Graduate Program on Applied Informatics UTFPR Curitiba Brazil
This article describes the estimation of a 3D point using a Kinect sensor and the Robot Operating System (ROS) along with You Only Look Once (YOLO) for object detection. The Kinect sensor provides RGB-D images, which ...
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Q-learning based Path Planning Method for UAVs using Priority Shifting
Q-learning based Path Planning Method for UAVs using Priorit...
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International Conference on Unmanned Aircraft Systems (ICUAS)
作者: Kevin B. de Carvalho Iure Rosa L. de Oliveira Daniel K. D. Villa Alexandre G. Caldeira rio Sarcinelli-Filho Alexandre S. Brandã o Department of Electrical Engineering Graduate Program in Computer Science Nucleus of Specialization in Robotics Universidade Federal de Vi&#x00E7 osa Vi&#x00E7 osa MG Brazil Department of Electrical Engineering Graduate Program in Electrical Engineering Universidade Federal do Esp&#x00ED rito Santo Vit&#x00F3 ria ES Brazil
Path planning is a crucial part of autonomous navigation when regarding autonomous aerial vehicles, often demanding different priorities such as the length, safety or energy consumption. Dynamic programming and geomet... 详细信息
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Q-Learning based Local Path Planning for UAVs with Different Priorities
Q-Learning based Local Path Planning for UAVs with Different...
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IEEE Latin American Robotics Symposium, LARS
作者: Kevin B. de Carvalho O. B. Hiago Batista Leonardo A. Fagundes-Júnior Alexandre S. Brandão Department of Electrical Engineering Graduate Program in Computer Science Núcleo de Especialização em Robótica (NERo) Universidade Federal de Viçosa Viçosa MG Brazil
Path planning is a crucial component of autonomous navigation and frequently demands different priorities such as path length, safety, or energy consumption, with the latter being particularly important in the context...
来源: 评论
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation
arXiv
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arXiv 2023年
作者: Cheng, Zesen Jin, Peng Li, Hao Li, Kehan Li, Siheng Ji, Xiangyang Liu, Chang Chen, Jie School of Electronic and Computer Engineering Peking University Shenzhen China -Preferred Program Peking University Shenzhen Graduate School China Peng Cheng Laboratory Shenzhen China Tsinghua University Beijing China
The top-down and bottom-up methods are two mainstreams of referring segmentation, while both methods have their own intrinsic weaknesses. Top-down methods are chiefly disturbed by Polar Negative (PN) errors owing to t... 详细信息
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Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
arXiv
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arXiv 2023年
作者: Jin, Peng Wu, Yang Fan, Yanbo Sun, Zhongqian Wei, Yang Yuan, Li School of Electronic and Computer Engineering Peking University Shenzhen China Peng Cheng Laboratory Shenzhen China Tencent AI Lab China -Preferred Program Peking University Shenzhen Graduate School China
Most text-driven human motion generation methods employ sequential modeling approaches, e.g., transformer, to extract sentence-level text representations automatically and implicitly for human motion synthesis. Howeve... 详细信息
来源: 评论