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检索条件"机构=High Performance Computing Lab School of Computer Science and Engineering"
486 条 记 录,以下是31-40 订阅
排序:
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization  27
A First-Order Multi-Gradient Algorithm for Multi-Objective B...
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27th European Conference on Artificial Intelligence, ECAI 2024
作者: Ye, Feiyang Lin, Baijiong Cao, Xiaofeng Zhang, Yu Tsang, Ivor W. Department of Computer Science and Engineering Southern University of Science and Technology China Australian Artificial Intelligence Institute University of Technology Sydney Australia The Hong Kong University of Science and Technology Guangzhou China School of Artificial Intelligence Jilin University China Shanghai Artificial Intelligence Laboratory China Centre for Frontier AI Research Agency for Science Technology and Research Singapore Institute of High Performance Computing Agency for Science Technology and Research Singapore School of Computer Science and Engineering Nanyang Technological University Singapore
In this paper, we study the Multi-Objective Bi-Level Optimization (MOBLO) problem, where the upper-level subproblem is a multi-objective optimization problem and the lower-level subproblem is for scalar optimization. ... 详细信息
来源: 评论
Combined Effect of Concept Drift and Class Imbalance on Model performance During Stream Classification
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computers, Materials & Continua 2023年 第4期75卷 1827-1845页
作者: Abdul Sattar Palli Jafreezal Jaafar Manzoor Ahmed Hashmani Heitor Murilo Gomes Aeshah Alsughayyir Abdul Rehman Gilal Department of Computer and Information Sciences Universiti Teknologi PETRONAS(UTP)Seri Iskandar32610Malaysia Centre for Research in Data Science UTPPerak32610Malaysia High Performance Cloud Computing Centre(HPC3) UTPPerak32610Malaysia School of Engineering and Computer Science Victoria University of WellingtonWellington6012New Zealand AI Institute University of Waikato WellingtonHamilton3240New Zealand Anti-Narcotics Force Ministry of Narcotics ControlIslamabad46000Pakistan College of Computer Science and Engineering Taibah UniversityMadinah42353Saudi Arabia
Every application in a smart city environment like the smart grid,health monitoring, security, and surveillance generates non-stationary datastreams. Due to such nature, the statistical properties of data changes over... 详细信息
来源: 评论
Complex Permeability Determination for EE Core Based on Flexible PCB Fixture and Magnetic Flux Path Length Analysis  2
Complex Permeability Determination for EE Core Based on Flex...
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2nd China Power Supply Society Electromagnetic Compatibility Conference, CPEMC 2024
作者: Jie, Huamin Zhao, Zhenyu Chang, Yongqi Wang, Changdong Jiang, Shiqi Gao, Richard Xian-Ke See, Kye Yak School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Department of Electrical and Computer Engineering National Univeristy of Singapore Singapore Singapore Department of Control Science and Engineering Harbin Institute of Technology Harbin China School of Electronics and Information Engineering Harbin Institute of Technology Harbin China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China Institute of High Performance Computing A*STAR Singapore Singapore
The complex permeability of magnetic cores acts as a vital factor in electromagnetic interference (EMI) filtering choke design and optimization. Many efforts have been reported for toroid cores, but fewer target those... 详细信息
来源: 评论
An Investigation into Power Aware Aspects of Rendering 3D Models on Multi-Core Processors
An Investigation into Power Aware Aspects of Rendering 3D Mo...
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2022 International Conference on Machine Learning and Data engineering, ICMLDE 2022
作者: Konnurmath, Guruprasad Chickerur, Satyadhyan School of Computer Science and Engineering KLE Technological University Hubballi580031 India Centre for High Performance Computing K L e Technological University Hubballi580031 India
Graphics Processing Units (GPUs) are designed to process numerically intensive applications and specially customized with additional computational power to achieve efficient rendering of 3D applications. Shaders are b... 详细信息
来源: 评论
Alleviating data insufficiency for Chinese sign language recognition
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Visual Intelligence 2023年 第1期1卷 1-9页
作者: Xue, Wanli Liu, Jingze Yan, Siyi Zhou, Yuxi Yuan, Tiantian Guo, Qing School of Computer Science and Engineering Tianjin University of Technology Tianjin China Technical College for the Deaf Tianjin University of Technology Tianjin China Institute of High Performance Computing (IHPC) Agency for Science Technology and Research (A*STAR) Singapore Singapore Singapore Centre for Frontier AI Research (CFAR) Agency for Science Technology and Research (A*STAR) Singapore Singapore
Continuous Chinese sign language recognition (CCSLR) methods have shown their strong ability to learn excellent model architectures from datasets. However, due to data insufficiency, it is difficult to complete the CC... 详细信息
来源: 评论
Accelerating fluid flow in Quantum computing using GPU
Accelerating fluid flow in Quantum Computing using GPU
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computer, Electronics & Electrical engineering & their Applications (IC2E3), International Conference on
作者: Joel Dandin Satyadhyan Chickerur School of Computer Science and Engineering KLE Technological University Hubballi India Centre for High Performance Computing School of Computer Science and Engineering KLE Technological University Hubballi India
In the last few years, quantum computing has evolved as the next big technological breakthrough. Many big companies are actively researching this area and have built open-source frameworks which can be used to develop...
来源: 评论
Two-Level Scheduling Technology for Heterogeneous Clusters Using Analytical Hierarchy Processes  6
Two-Level Scheduling Technology for Heterogeneous Clusters U...
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6th IEEE International Conference on computer and Communication Systems, ICCCS 2021
作者: Zhao, Tianhai Gu, Jianhua Zhang, Xiaoyuan Northwestern Polytechnical University School of Computer Science and Engineering Center for High Performance Computing Xi'an Shanxi China
The cluster system presents multi-level and complex heterogeneous features with GPUs computing. Job scheduling technology determines computing resource utilization and throughput of the cluster system. On the basis of... 详细信息
来源: 评论
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs...
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International Joint Conference on Neural Networks (IJCNN)
作者: Jian Cheng Wong Pao-Hsiung Chiu Chinchun Ooi My Ha Dao Yew-Soon Ong Institute of High Performance Computing Agency for Science Technology and Research Singapore School of Computer Science and Engineering Nanyang Technological University Singapore
We present a novel loss formulation for efficient learning of complex dynamics from governing physics, typically described by partial differential equations (PDEs), using physics-informed neural networks (PINNs). In o...
来源: 评论
Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation
arXiv
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arXiv 2023年
作者: Zhao, Yiming Zhou, Tao Gu, Yunqi Zhou, Yi Zhang, Yizhe Wu, Ye Fu, Huazhu PCA Lab The School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China The School of Computer Science and Engineering Southeast University Nanjing211189 China The Institute of High Performance Computing A*STAR Singapore
Polyp segmentation plays a vital role in accurately locating polyps at an early stage, which holds significant clinical importance for the prevention of colorectal cancer. Various polyp segmentation methods have been ... 详细信息
来源: 评论
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry
arXiv
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arXiv 2023年
作者: Wong, Jian Cheng Chiu, Pao-Hsiung Ooi, Chinchun Dao, My Ha Ong, Yew-Soon Institute of High Performance Computing Agency for Science Technology and Research Singapore School of Computer Science and Engineering Nanyang Technological University Singapore
We present a novel loss formulation for efficient learning of complex dynamics from governing physics, typically described by partial differential equations (PDEs), using physics-informed neural networks (PINNs). In o... 详细信息
来源: 评论