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检索条件"主题词=Graph convolutional neural network"
404 条 记 录,以下是1-10 订阅
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SL-GCNN: A graph convolutional neural network for Granular Human Motion Recognition
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IEEE ACCESS 2025年 13卷 12373-12387页
作者: Zhang, Jingyu Li, Yang Changchun Normal Univ Coll Phys Educ Changchun 130032 Jilin Peoples R China
Human motion recognition has significantly advanced, with applications in human-computer interaction, virtual reality, intelligent video surveillance, and athletic training. This paper presents SL-GCNN, a novel graph ... 详细信息
来源: 评论
Dual channel visible graph convolutional neural network for microleakage monitoring of pipeline weld homalographic cracks
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COMPUTERS IN INDUSTRY 2025年 164卷
作者: Huang, Jing Zhang, Zhifen Qin, Rui Yu, Yanlong Li, Yongjie Xu, Quanning Xing, Ji Wen, Guangrui Cheng, Wei Chen, Xuefeng Xi An Jiao Tong Univ Natl Key Lab Aerosp Power Syst & Plasma Technol Xian 710049 Peoples R China China Nucl Power Engn Co Ltd Beijing 100840 Peoples R China
When using a single sensor to monitor early microleakage of nuclear power pressure pipeline leakage, there are problems such as low monitoring accuracy and poor early warning reliability due to the limitations of the ... 详细信息
来源: 评论
Freeway optimal control based on emission oriented microscopic graph convolutional neural network
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APPLIED INTELLIGENCE 2025年 第6期55卷 1-17页
作者: Fang, Jie Lu, Mingwen Fu, Lina Wang, Juanmeizi Xu, Mengyun Fuzhou Univ Coll Civil Engn Fuzhou 350108 Peoples R China Natl Univ Singapore Dept Civil & Environm Engn Singapore 119077 Singapore
Traffic flow prediction and control in the active traffic control system is considered as one of the most critical issues in Intelligent Transportation Systems (ITS). Among the proposed AI-based approaches, Deep Learn... 详细信息
来源: 评论
Combined improved tuna swarm optimization with graph convolutional neural network for remaining useful life of engine
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QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL 2025年 第1期41卷 174-191页
作者: Yuan, Yongliang Yang, Qingkang Wang, Guohu Ren, Jianji Wang, Zhenxi Qiu, Feng Li, Kunpeng Liu, Haiqing Henan Polytech Univ Sch Mech & Power Engn Jiaozuo Peoples R China Zhengzhou Univ Ind Technol Sch Mech & Elect Engn Zhengzhou Peoples R China Henan Polytech Univ Sch Software Jiaozuo Peoples R China Jilin Univ Sch Commun Engn Changchun 130012 Peoples R China China South Ind Grp Corp Automat Res Inst Co Ltd Beijing Peoples R China Nanyang Technol Univ Sch Phys & Math Sci Singapore Singapore Fluorine Based New Mat Technol Co Ltd Jiaozuo Henan Peoples R China
Accurate prediction of the engine's remaining useful life (RUL) is essential to ensure the safe operation of the aircraft because. However, traditional deep-learning based methods for RUL prediction has been limit... 详细信息
来源: 评论
A graph convolutional neural network model based on fused multi-subgraph as input and fused feature information as output
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 139卷
作者: Lu, Junwen Chen, Zeji Deng, Xiaolong Xiamen Univ Technol Sch Comp & Informat Engn Xiamen 361024 Peoples R China Beijing Univ Posts & Telecommun Sch Cyber Secur Beijing Peoples R China
The graph convolution neural network (GCN)-based node classification model tackles the challenge of classifying nodes in graph data through learned feature representations. However, most existing graph neural networks... 详细信息
来源: 评论
Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network
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SCIENTIFIC REPORTS 2025年 第1期15卷 1-11页
作者: Yin, Guimei Yuan, Jie Chen, Yanjun Guo, Guangxing Shi, Dongli Wang, Lin Zhao, Zilong Zhao, Yanli Zhang, Manjie Dong, Yuan Wang, Bin Tan, Shuping Taiyuan Normal Univ Sch Comp Sci & Technol Jinzhong 030619 Peoples R China Shanxi Prov Peoples Hosp Dept Radiol Taiyuan 030012 Peoples R China Taiyuan Normal Univ Inst Big Data Technol Anal & Applicat Jinzhong 030619 Peoples R China Sun Yat sen Univ Sch Chem Engn & Technol Zhuhai 519000 Peoples R China Beijing Huilongguan Hosp Psychiat Res Ctr Beijing 100096 Peoples R China Taiyuan Univ Technol Coll Comp Sci & Technol Jinzhong 030600 Peoples R China
Previous deep learning-based brain network research has made significant progress in understanding the pathophysiology of schizophrenia. However, it ignores the three-dimensional spatial characteristics of EEG signals... 详细信息
来源: 评论
Enhancing Recommender Systems through Imputation and Social-Aware graph convolutional neural network
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neural networkS 2025年 184卷 107071页
作者: Faroughi, Azadeh Moradi, Parham Jalili, Mahdi Univ Kurdistan Dept Comp Engn Sanandaj Iran RMIT Univ Sch Engn Melbourne Australia
Recommendation systems are vital tools for helping users discover content that suits their interests. Collaborative filtering methods are one of the techniques employed for analyzing interactions between users and ite... 详细信息
来源: 评论
Exploration of novel boron nitride polymorphs: High-throughput screening combined with multi-task orbital crystal graph convolutional neural network (MT-OCGCN)
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VACUUM 2025年 231卷
作者: Wei, Wenxu Min, Gege Fan, Qingyang Liang, Dong Ye, Ming Yun, Sining Xian Univ Architecture & Technol Coll Informat & Control Engn Xian 710055 Peoples R China Xian Univ Architecture & Technol Sch Mat Sci & Engn Funct Mat Lab FML Xian 710055 Peoples R China
In response to the limitations of traditional material property prediction methods, we have developed a Multitask Orbital Crystal graph convolutional neural network (MT-OCGCN). This innovative model allows for sharing... 详细信息
来源: 评论
Estimating travel time in transport network with a combined multi-attributed graph convolutional neural network and multilayer perceptron model
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 142卷
作者: Betkier, Igor Mil Univ Technol Fac Secur Logist & Management gen Sylwestra Kaliskiego St 2 PL-00908 Warsaw Poland
In this article, an advanced model for forecasting travel time in road networks is presented, employing a graph convolutional neural network (GCN) integrated with a Multilayer Perceptron (MLP), focusing on the travel ... 详细信息
来源: 评论
Combining multi-level feature extraction algorithm with residual graph convolutional neural network for partial discharge detection
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MEASUREMENT 2025年 242卷
作者: Zhang, Chungfeng Fulnecek, Jan Yang, Lin Zhang, Yongjun Zheng, Jiehui South China Univ Technol Sch Elect Power Guangzhou 510665 Peoples R China VSB Tech Univ Ostrava Dept Elect Power Engn Ostrava 70800 Czech Republic
Partial discharge (PD) identification is critical for the insulation diagnosis of cable conductors;however, there is still scope for enhancement in the existing adaptive extraction capabilities and feature utilization... 详细信息
来源: 评论