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检索条件"机构=Research Computing and Data"
3312 条 记 录,以下是1-10 订阅
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Human-in-the-Loop Automatic data Migration for a Large research computing data Center
Human-in-the-Loop Automatic Data Migration for a Large Resea...
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International Conference on Computational Science and Computational Intelligence (CSCI)
作者: Fang Cherry Liu Michael D. Weiner Kevin Manalo Aaron Jezghani Christopher J. Blanton Christopher Stone Kenneth Suda Nuyun Zhang Dan Zhou Mehmet Belgin Semir Sarajlic Ruben Lara Partnership for an Advanced Computing Environment (PACE) Georgia Institute of Technology Atlanta U.S.A Research Computing and Data Facilitation Service North Carolina State University Raleigh U.S.A Microsoft "Present Affiliation" Atlanta U.S.A
Most HPC centers face a lack of expertise of data center migrations, as it’s a rare event that only a small portion of HPC professionals experience more than once in their entire professional careers. This paper pres... 详细信息
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RE-SEGNN:recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting
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Science China(Information Sciences) 2025年 第2期68卷 103-119页
作者: Wenyu CAI Mengfan LI Xuanhua SHI Yuanxin FAN Quntao ZHU Hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and Technology
Temporal knowledge graph(TKG) reasoning, has seen widespread use for modeling real-world events, particularly in extrapolation settings. Nevertheless, most previous studies are embedded models, which require both enti... 详细信息
来源: 评论
Triple Sensors Integrated Deep Learning-Based Network for Detection of Defects in Medicines
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IEEE Sensors Journal 2025年 第10期25卷 18171-18179页
作者: Ganesh, Karthikeyan Prakash, M. SRM Institute of Science and Technology School of Computing Department of Research Scholar Data Science and Business Systems Tamil Nadu Kattankulathur603203 India SRM Institute of Science and Technology Data Science and Business Systems School of Computing Tamil Nadu Kattankulathur603203 India
The accurate medicine dispensing is extremely important in all hospitals, as medical errors can cause serious health issues, underscoring the need for improved protocols. Numerous research has been conducted on develo... 详细信息
来源: 评论
MSMAE-Net: multi-semantic and multi-attention enhanced network for image forgery localization
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Signal, Image and Video Processing 2025年 第7期19卷 1-11页
作者: Liao, Jianjun Su, Lichao Lu, Menghan Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China
The popularization of modern digital image technology has brought convenience to us, but it also poses many risks. The advancement of image editing software allows anyone to modify image content effortlessly. If these... 详细信息
来源: 评论
Situational Scene Graph for Structured Human-Centric Situation Understanding
Situational Scene Graph for Structured Human-Centric Situati...
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2025 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025
作者: Sugandhika, Chinthani Li, Chen Rajan, Deepu Fernando, Basura College of Computing and Data Science Nanyang Technological University Singapore Centre for Frontier Ai Research Agency for Science Technology and Research Singapore Institute of High-Performance Computing Agency for Science Technology and Research Singapore
Graph based representation has been widely used in modelling spatio-temporal relationships in video understanding. Although effective, existing graph-based approaches focus on capturing the human-object relationships ... 详细信息
来源: 评论
Towards Adaptive Masked Structural Learning for Graph-Level Clustering
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IEEE Transactions on Network Science and Engineering 2025年 第3期12卷 2021-2032页
作者: Yang, Jinbin Cai, Jinyu Zhang, Yunhe Huang, Sujia Wang, Shiping Fuzhou University College of Computer and Data Science Fuzhou350116 China Bank of Quanzhou Company Ltd. Quanzhou362046 China National University of Singapore Institute of Data Science 117602 Singapore Shenzhen Research Institute of Big Data Shenzhen518172 China Chinese University of Hong Kong Guangdong Provincial Key Laboratory of Big Data Computing Shenzhen518172 China
Graph data presents a vast landscape for real-world applications. Current graph-level clustering approaches predominantly utilize graph neural networks to capture the intricate structural information for graph data. H... 详细信息
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A numerical magnitude aware multi-channel hierarchical encoding network for math word problem solving
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Neural computing and Applications 2025年 第3期37卷 1651-1672页
作者: Xu, Junjie Chen, Yuzhong Xiao, Lingsheng Liao, Hongmiao Zhong, Jiayuan Dong, Chen College of Computer and Data Science Fuzhou University Fujian Province Fuzhou350108 China Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fujian Province Fuzhou350108 China
Math word problem (MWP) represents a critical research area within reading comprehension, where accurate comprehension of math problem text is crucial for generating math expressions. However, current approaches still... 详细信息
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Cost-Effective Edge data Caching With Failure Tolerance and Popularity Awareness
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IEEE Transactions on Mobile computing 2025年 第6期24卷 5357-5369页
作者: Luo, Ruikun Zhang, Zujia He, Qiang Xu, Mengxi Chen, Feifei Dai, Xiaohai Wu, Song Jin, Hai Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of  Computer Science and Technology Wuhan430074 China Deakin University School of Information Technology GeelongVIC3125 Australia
In the mobile edge computing environment, caching data in edge storage systems can significantly reduce data retrieval latency for users while saving the costs incurred by cloud-edge data transmissions for app vendors... 详细信息
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A Method for Constructing research data Provenance in High-Performance computing Systems
A Method for Constructing Research Data Provenance in High-P...
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IEEE International Conference on e-Science and Grid computing
作者: Yuta Namiki Takeo Hosomi Hideyuki Tanushi Akihiro Yamashita Susumu Date Joint Research Laboratory for Integrated Infrastructure of High Performance Computing and Data Analysis Cybermedia Center Osaka University Osaka Japan NEC Corporation Tokyo Japan
research must be reproducible to be verifiable. Provenance, which describes how data was produced, is one of the metadata that can improve reproducibility. In this paper, we propose a method to construct the provenanc...
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Soft-GNN:towards robust graph neural networks via self-adaptive data utilization
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Frontiers of Computer Science 2025年 第4期19卷 1-12页
作者: Yao WU Hong HUANG Yu SONG Hai JIN National Engineering Research Center for Big Data Technology and System Service Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China College of Information and Communication National University of Defense TechnologyWuhan 430019China Department of Computer Science and Operations Research Universitéde MontréalMontreal H3C 3J7Canada
Graph neural networks(GNNs)have gained traction and have been applied to various graph-based data analysis tasks due to their high ***,a major concern is their robustness,particularly when faced with graph data that h... 详细信息
来源: 评论