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检索条件"机构=Key Laboratory of Computer System and Architeture Institute of Computing Technology"
517 条 记 录,以下是411-420 订阅
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Battery discharge characteristics of wireless sensors in building applications
Battery discharge characteristics of wireless sensors in bui...
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IEEE International Conference on Networking, Sensing and Control
作者: Wenqi Guo William M. Healy Meng Chu Zhou Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA National Institute for Standards and Technology Gaithersburg MD USA Key Laboratory of Embedded System and Service Computing Ministry of Education University of Tongji Shanghai China ECE Department New Jersey Institute of Technology Newark NJ USA
Sensor nodes in wireless networks often use batteries as their source of energy, but replacing or recharging exhausted batteries in a deployed network can be difficult and costly. Therefore, prolonging battery life be... 详细信息
来源: 评论
ESNet: evolution and succession network for high-resolution salient object detection  24
ESNet: evolution and succession network for high-resolution ...
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Proceedings of the 41st International Conference on Machine Learning
作者: Hongyu Liu Runmin Cong Hua Li Qianqian Xu Qingming Huang Wei Zhang Institute of Information Science Beijing Jiaotong University & Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing China School of Control Science and Engineering Shandong University & Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan China School of Computer Science and Technology Hainan University Hainan China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China
Preserving details and avoiding high computational costs are the two main challenges for the High-Resolution Salient Object Detection (HRSOD) task. In this paper, we propose a two-stage HRSOD model from the perspectiv...
来源: 评论
Optimal scheduling of single-arm multi-cluster tools with two-space buffering modules
Optimal scheduling of single-arm multi-cluster tools with tw...
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IEEE International Conference on Automation Science and Engineering (CASE)
作者: FaJun Yang NaiQi Wu Yan Qiao MengChu Zhou Department of Industrial Engineering Guangdong University of Technology Guangzhou China Institute of Systems Engineering Macau University of Science and Technology Macau Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA
A multi-cluster tool is composed of a number of single-cluster tools linked by buffering modules. The capacity of a buffering module can be one or two. Aiming at finding an optimal one-wafer cyclic schedule, this work... 详细信息
来源: 评论
Realizing Emotional Interactions to Learn User Experience and Guide Energy Optimization for Mobile Architectures  22
Realizing Emotional Interactions to Learn User Experience an...
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Proceedings of the 55th Annual IEEE/ACM International Symposium on Microarchitecture
作者: Xueliang Li Zhuobin Shi Junyang Chen Yepang Liu National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China College of Computer Science and Software Engineering Shenzhen University China Research Institute of Trustworthy Autonomous Systems Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation and Department of Computer Science and Engineering Southern University of Science and Technology China
In the age of AI, mobile architectures such as smartphones are still "cold machines"; machines do not feel. If the architecture is able to feel users' feelings and runtime user experience (UX), it will a...
来源: 评论
On Theoretical Optimization of the Sensing Matrix for Sparse-Dictionary Signal Recovery
On Theoretical Optimization of the Sensing Matrix for Sparse...
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IEEE Global Conference on Signal and Information Processing (GlobalSIP)
作者: Jianchen Zhu Shengjie Zhao Xu Ma Gonzalo R. Arce Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai CHN School of Optics and Photonics Beijing Institute of Technology Beijing CHN Department of Electrical and Computer Engineering University of Delaware Newark Delaware USA
Compressive Sensing (CS) is a new paradigm for the efficient acquisition of signals that have sparse representation in a certain domain. Traditionally, CS has provided numerous methods for signal recovery over an orth...
来源: 评论
Editorial
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International Journal on Artificial Intelligence Tools 2012年 第3期21卷
作者: Cui, Zhihua Shi, Zhongzhi Alex, Rajan Complex System and Computational Intelligence Laboratory School of Computer Science and Technology Taiyuan University of Science and Technology Shanxi 030024 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences No. 6 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 China Department of Engineering and Computer Science West Texas AandM University Canyon TX 79015 United States
Swarm intelligence is an umbrella for amount optimization algorithms. This discipline deals with natural and artificial systems composed of many individuals that coordinate their activities using decentralized control... 详细信息
来源: 评论
Hyperbolic Neural Network Based Preselection for Expensive Multi-Objective Optimization
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IEEE Transactions on Evolutionary Computation 2024年 1-1页
作者: Li, Bingdong Yang, Yanting Hong, Wenjing Yang, Peng Zhou, Aimin Shanghai Institute of AI for Education the School of Computer Science and Technology and the Shanghai Frontiers Science Center of Molecule Intelligent Syntheses East China Normal University Shanghai China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China Department of Computer Science and Engineering Guangdong Key Laboratory of Brain-Inspired Intelligent Computation Southern University of Science and Technology Shenzhen China
A series of surrogate-assisted evolutionary algorithms (SAEAs) have been proposed for expensive multi-objective optimization problems (EMOPs), building cheap surrogate models to replace the expensive real function eva... 详细信息
来源: 评论
Learning from pseudo lesion: A self-supervised framework for covid-19 diagnosis
arXiv
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arXiv 2021年
作者: Li, Zhongliang Jin, Zhihao Li, Xuechen Shen, Linlin Computer Vision Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen518060 China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China
The Coronavirus disease 2019 (COVID-19) has rapidly spread all over the world since its first report in December 2019 and thoracic computed tomography (CT) has become one of the main tools for its diagnosis. In recent... 详细信息
来源: 评论
CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing
arXiv
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arXiv 2024年
作者: Xian, Xiaole He, Xilin Niu, Zenghao Zhang, Junliang Xie, Weicheng Song, Siyang Yu, Zitong Shen, Linlin Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Guangdong Key Laboratory of Intelligent Information Processing China University of Exeter United Kingdom Great Bay University China
For efficient and high-fidelity local facial attribute editing, most existing editing methods either require additional finetuning for different editing effects or tend to affect beyond the editing regions. Alternativ...
来源: 评论
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection
arXiv
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arXiv 2024年
作者: Zhang, Yaning Wang, Tianyi Yu, Zitong Gao, Zan Shen, Linlin Chen, Shengyong Jinan250353 China Nanyang Technological University 50 Nanyang Ave Block N 4 639798 Singapore School of Computing and Information Technology Great Bay University Dongguan523000 China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen518060 China Jinan250014 China The Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin300384 China Computer Vision Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518129 China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China
The rapid development of photo-realistic face generation methods has raised significant concerns in society and academia, highlighting the urgent need for robust and generalizable face forgery detection (FFD) techniqu... 详细信息
来源: 评论