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检索条件"机构=The Key Lab.of Intelligent Computing and Signal Processing"
301 条 记 录,以下是11-20 订阅
排序:
Adversarial Example Generation Method Based on Probability Histogram Equalization  42
Adversarial Example Generation Method Based on Probability H...
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42nd Chinese Control Conference, CCC 2023
作者: Fang, Youqing Jia, Jingwen Yang, Yuhai Lyu, Wan-Li School of Computer Science and Technology Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei230601 China
CNNs (Convolutional Neural Networks) have a good performance on most classification tasks, but they are vulnerable when meeting adversarial examples. Research and design of highly aggressive adversarial examples can h... 详细信息
来源: 评论
SES: Bridging the Gap between Explainability and Prediction of Graph Neural Networks  40
SES: Bridging the Gap between Explainability and Prediction ...
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40th IEEE International Conference on Data Engineering, ICDE 2024
作者: Huang, Zhenhua Li, Kunhao Wang, Shaojie Jia, Zhaohong Zhu, Wentao Mehrotra, Sharad Anhui University Hefei China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Hefei China Amazon Research Seattle United States University of California Irvine Irvine United States
Despite the Graph Neural Networks' (GNNs) pro-ficiency in analyzing graph data, achieving high-accuracy and interpretable predictions remains challenging. Existing GNN interpreters typically provide post-hoc expla... 详细信息
来源: 评论
Enhanced Symplectic Geometric Mode Decomposition via K-means Clustering for LFM signal Denoising
Enhanced Symplectic Geometric Mode Decomposition via K-means...
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IEEE International Conference on Electronic Information and Communication Technology (ICEICT)
作者: Jincheng Ni Jin Zhao Xianliang Wu Ping Wu Key Lab of Intelligent Computing & Signal Processing Ministry of Education AnHui University Hefei China
This article presents a Symplectic Geometric Mode Decomposition (SGMD) method incorporating K-means clustering, coupled with wavelet denoising, for mitigating noise in Linear Frequency Modulation (LFM) signals. This m... 详细信息
来源: 评论
Research on signal Denoising Method Based on Symplectic Geometric Mode Decomposition and Savitzky-Golay Filtering
Research on Signal Denoising Method Based on Symplectic Geom...
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IEEE International Conference on Electronic Information and Communication Technology (ICEICT)
作者: Xuelong Xu Jin Zhao Bo Wu Xianliang Wu Jincheng Ni Ping Wu Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhui University Anhui University Hefei China
The paper proposes a noise reduction algorithm based on symplectic Geometric Mode Decomposition (SGMD) and Savitzky-Golay (SG)filtering to address the issue of noise interference during signal transmission. Firstly, t... 详细信息
来源: 评论
Broadband Circularly Polarized Hybrid Metasurface Antenna for Wearable Devices
Broadband Circularly Polarized Hybrid Metasurface Antenna fo...
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International Applied Computational Electromagnetics Society Symposium (ACES)
作者: Zhiyi Liu Yufa Sun Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhui University HeFei China
A 38×38×4mm3 wideband circularly polarized (CP) antenna with Hybrid Metasurface (MTS) for wearable devices is proposed. The proposed antenna achieves CP radiation by cutting corners on a square microstrip pa...
来源: 评论
A Wideband GCPW-SIW Fed Slots Antenna for Millimeter-Wave Applications
A Wideband GCPW-SIW Fed Slots Antenna for Millimeter-Wave Ap...
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International Applied Computational Electromagnetics Society Symposium (ACES)
作者: Penghao Run Yufa Sun Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China
A wideband GCPW-SIW fed slots antenna in millimeter wave band is designed in this paper. The structure is composed of four inclined slots which are placed on the one side of the SIW with three shorting vias and fed by...
来源: 评论
A U-shape Compensation Structure for Differential-to-Common Mode Conversion Noise Suppression in 90°-Bended differential Line  13
A U-shape Compensation Structure for Differential-to-Common ...
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13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022
作者: He, Zhikang Zhu, Haoran Anhui Province Anhui University Information Materials and Intelligent Sensing Laboratory Hefei230039 China Anhui University Ministry of Education Key Lab of Intelligent Computing and Signal Processing Hefei230039 China
a U-shaped structure, based on the equivalent lumped circuit of differential transmission line, is proposed to suppress the noise of differential-common-mode conversion. With the equivalent lumped circuit, the cause o... 详细信息
来源: 评论
A Miniaturized Microwave Limiter by Using T-Type LC Network Topology with GaAs Technology  13
A Miniaturized Microwave Limiter by Using T-Type LC Network ...
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13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022
作者: Wang, Jun Zhu, Haoran Anhui University Information Materials and Intelligent Sensing Laboratory of Anhui Province Hefei230039 China Anhui University Ministry of Education Key Lab of Intelligent Computing & Signal Processing Hefei230039 China
A miniaturized ultra-wideband microwave limiter with low insertion loss is presented in this paper. This limiter adopts a three-stage antiparallel diode structure. A T-type LC network topology consisting of two spiral... 详细信息
来源: 评论
Linear Frequency Modulated signal Denoising Based on Symplectic Geometric Mode Decomposition and Block Thresholding
Linear Frequency Modulated Signal Denoising Based on Symplec...
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International Conference on Communication Technology (ICCT)
作者: Jincheng Ni Jin Zhao Xianliang Wu Key Lab of Intelligent Computing & Signal Processing Ministry of Education AnHui University AnHui University Heifei China
In this paper, a novel and comprehensive signal denoising method is proposed by combining Symplectic Geometric Modal Decomposition (SGMD) and Block Thresholding denoising. The proposed approach involves a three-step p...
来源: 评论
Adversarial Example Generation Method Based on Probability Histogram Equalization
Adversarial Example Generation Method Based on Probability H...
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第42届中国控制会议
作者: Youqing Fang Jingwen Jia Yuhai Yang Wan-Li Lyu Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui University
CNNs(Convolutional Neural Networks) have a good performance on most classification tasks,but they are vulnerable when meeting adversarial *** and design of highly aggressive adversarial examples can help enhance the s...
来源: 评论