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检索条件"机构=Key Laboratory of Embedded System and ServIce Computing supported by Ministry of Education"
501 条 记 录,以下是131-140 订阅
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Adaptive finite time stability of delayed systems via aperiodically intermittent control and quantized control
arXiv
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arXiv 2020年
作者: Liu, Xiwei Ma, Hailian Department of Computer Science and Technology Tongji University Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China
In this brief, we set up the finite time stability (FnTSta) theory for dynamical systems with bounded timevarying delays via aperiodically intermittent control (AIC) and quantized control (QC). A more general QC is de... 详细信息
来源: 评论
Global µ-stability and finite-time control of octonion-valued neural networks with unbounded delays✡
arXiv
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arXiv 2020年
作者: Wang, Jingzhu Liu, Xiwei Department of Computer Science and Technology Tongji University Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China
Octonion-valued neural networks (OVNNs) are a type of neural networks for which the states and weights are octonions. In this paper, the global µ-stability and finite-time stability problems for octonion-valued n... 详细信息
来源: 评论
Non-intrusive load disaggregation using semi-supervised learning method
Non-intrusive load disaggregation using semi-supervised lear...
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2019 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2019
作者: Miao, Nan Zhao, Shengjie Shi, Qingjiang Zhang, Rongqing Tongji University Key Laboratory of Embedded System and Service Computing of Ministry of Education Shanghai China Tongji University Sch. of Software Eng. the Key Lab. of Embedded System and Service Computing of Ministry of Education Shanghai China Tongji University School of Software Engineering Shanghai China
With the emerging of smart metering around the world, there is a growing demand to analyse the residential energy usage. In this paper, we propose a Deep Neural Network (DNN)-based approach for non-intrusive load moni... 详细信息
来源: 评论
Low-rate non-intrusive appliance load monitoring based on graph signal processing
Low-rate non-intrusive appliance load monitoring based on gr...
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2019 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2019
作者: Zhang, Bing Zhao, Shengjie Shi, Qingjiang Zhang, Rongqing Tongji University Key Laboratory of Embedded System and Service Computing of Ministry of Education Shanghai China Tongji University Sch. of Software Eng. the Key Lab. of Embedded System and Service Computing of Ministry of Education Shanghai China Tongji University School of Software Engineering Shanghai China
Thanks to the large-scale smart meters deployments around the world, non-intrusive appliance load monitoring (NILM) is receiving popularity. It aims to disaggregate the total electricity load of a home into individual... 详细信息
来源: 评论
Detecting Data-flow Errors Based on Petri Nets With Data Operations
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IEEE/CAA Journal of Automatica Sinica 2018年 第1期5卷 251-260页
作者: Dongming Xiang Guanjun Liu Chungang Yan Changjun Jiang Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China IEEE
In order to guarantee the correctness of business processes, not only control-flow errors but also data-flow errors should be considered. The control-flow errors mainly focus on deadlock, livelock, soundness, and so o... 详细信息
来源: 评论
An Accuracy-and-Diversity-based Ensemble Method for Concept Drift and Its application in Fraud Detection
An Accuracy-and-Diversity-based Ensemble Method for Concept ...
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IEEE International Conference on Data Mining Workshops (ICDM Workshops)
作者: Shujie Yin Guanjun Liu Zhenchuan Li Chungang Yan Changjun Jiang Key Laboratory of the Ministry of Education for Embedded System and Service Computing Shanghai Electronic Transactions and Information Service Collaborative Innovation Center Tongji University Shanghai China
Concept Drift is one of the most challenging issues in various applications such as fraud detection, spam filtering and sensor networks, causing the performance degradation of learning algorithms which are dedicated t... 详细信息
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A hierarchical clustering strategy of processing class imbalance and its application in fraud detection  21
A hierarchical clustering strategy of processing class imbal...
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21st IEEE International Conference on High Performance computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and systems, HPCC/SmartCity/DSS 2019
作者: Zhang, Youjun Liu, Guanjun Zheng, Lutao Yan, Chungang Key Laboratory of the Ministry of Education for Embedded System and Service Computing Shanghai Electronic Transactions and Information Service Collaborative Innovation Center Tongji University Shanghai China
With the Internet and mobile communications becoming an indispensable part of people's daily lives, online transactions have become one of the most common payment methods. However, transaction fraud incidents also... 详细信息
来源: 评论
Generalized Visual Quality Assessment of GAN-Generated Face Images
arXiv
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arXiv 2022年
作者: Tian, Yu Ni, Zhangkai Chen, Baoliang Wang, Shiqi Wang, Hanli Kwong, Sam The Department of Computer Science City University of Hong Kong 999077 Hong Kong The Department of Computer Science & Technology Tongji University Shanghai 200092 China The Department of Computer Science & Technology Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 200092 China The City University of Hong Kong Shenzhen Research Institute Shenzhen518057 China
Recent years have witnessed the dramatically increased interest in face generation with generative adversarial networks (GANs). A number of successful GAN algorithms have been developed to produce vivid face images to... 详细信息
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A Cloudedge-Combined Data Placement Strategy Based On User Access Regions
A Cloudedge-Combined Data Placement Strategy Based On User A...
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International Conference on Big Data and Information Analytics (BigDIA)
作者: Eryang Cao Pengwei Wang Chungang Yan Changjun Jiang The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China School of Computer Science and Technology Donghua University Shanghai China
To improve the availability of data in the cloud and avoid vendor lock-in risk, multi-cloud storage is attracting more and more attentions. However, accessing data from the cloud usually has some disadvantages such as... 详细信息
来源: 评论
ASBSO: An improved brain storm optimization with flexible search length and memory-based selection
arXiv
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arXiv 2021年
作者: Yu, Yang Gao, Shangce Wang, Yirui Cheng, Jiujun Todo, Yuki The Faculty of Engineering University of Toyama Toyama930-8555 Japan Key Laboratory of Embedded System and Service Computing Ministry of Education Department of Computer Science and Technology Tongji University Shanghai200092 China The School of Electrical and Computer Engineering Kanazawa University Kanazawa-shi920-1192 Japan
Brain storm optimization (BSO) is a newly proposed population-based optimization algorithm which uses a logarithmic sigmoid transfer function to adjust its search range during the convergent process. However, this adj... 详细信息
来源: 评论