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检索条件"机构=Graduate Program in Computer Engineering"
2051 条 记 录,以下是441-450 订阅
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Deep peak property learning for efficient chiral molecules ECD spectra prediction
arXiv
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arXiv 2024年
作者: Li, Hao Long, Da Yuan, Li Tian, Yonghong Wang, Xinchang Mo, Fanyang School of Electronic and Computer Engineering Peking University Shenzhen China -Preferred Program Peking University Shenzhen Graduate School Shenzhen China College of Chemistry and Chemical Engineering Xiamen University Xiamen361005 China Peng Cheng Laboratory Shenzhen China School of Materials Science and Engineering Peking University Beijing China
Chiral molecule assignation is crucial for asymmetric catalysis, functional materials, and the drug industry. The conventional approach requires theoretical calculations of electronic circular dichroism (ECD) spectra,... 详细信息
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Bilevel optimization for machine learning: Algorithm design and convergence analysis
arXiv
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arXiv 2021年
作者: Ji, Kaiyi Graduate Program in Department of Electrical and Computer Engineering Ohio State University
Bilevel optimization has become a powerful framework in a variety of machine learning applications including signal processing, meta-learning, hyperparameter optimization, reinforcement learning and network architectu... 详细信息
来源: 评论
Physarum Route Optimization: Bio-inspired Strategies for Mobile Robot Navigation
Physarum Route Optimization: Bio-inspired Strategies for Mob...
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IEEE Latin American Robotics Symposium, LARS
作者: Dieisson Martinelli André Schneider de Oliveira Vivian Cremer Kalempa Graduate Program in Electrical and Computer Engineering Universidade Tecnológica Federal do Paraná (UTFPR) Curitiba Brazil Department of Information Systems Universidade do Estado de Santa Catarina (UDESC) São Bento do Sul Brazil
The objective of this project is to explore the applicability of a bioinspired approach, derived from the behavior of the Physarum polycephalum fungus, in optimizing trajectory navigation for mobile robot structures. ... 详细信息
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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
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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...
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
来源: 评论
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 ...
来源: 评论
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
来源: 评论