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检索条件"机构=Computer And Embedded Systems Lab"
140 条 记 录,以下是31-40 订阅
排序:
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
arXiv
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arXiv 2022年
作者: Özdenizci, Ozan Legenstein, Robert The Institute of Theoretical Computer Science Graz University of Technology Graz Austria Tu Graz Sal Dependable Embedded Systems Lab Silicon Austria Labs Graz Austria
Image restoration under adverse weather conditions has been of significant interest for various computer vision applications. Recent successful methods rely on the current progress in deep neural network architectural... 详细信息
来源: 评论
Seven-level Cascade Multilevel Inverter based Minimum Switches for Photovoltaic applications
Seven-level Cascade Multilevel Inverter based Minimum Switch...
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IEEE SSD International Multi-Conference on systems, Signals and Devices
作者: Ali Abedaljabar Al-Samawi Hafedh Trabelsi Department of Electronic and Communications Engineering College of Engineering Al-Muthanna University Al Muthanna Iraq Department of Electrical Engineering National Engineering School of Sfax (ENIS) Computer and Embedded Systems Laboratory (CES-Lab) Sfax University Sfax Tunisia
To enhance power quality and obtain high power from photovoltaic(PV), and mitigate the impact of the PV system's partial shading condition(PSC) and electrical mismatch power problems. This paper presents a single-...
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The Controllability, Observability, and Stability Analysis of a Class of Composite systems with Fractional Degree Generalized Frequency Variables
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IEEE/CAA Journal of Automatica Sinica 2019年 第3期6卷 859-864页
作者: Cuihong Wang Yafei Zhao YangQuan Chen IEEE the Department of Mathematics and Computer Science Shanxi Normal University the Mechatronics Embedded Systems and Automation(MESA) Lab
This paper is concerned with fundamental properties of a class of composite systems with fractional degree generalized frequency variables, including controllability, observability and stability. Firstly, some necessa... 详细信息
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MEMORY-ENRICHED COMPUTATION AND LEARNING IN SPIKING NEURAL NETWORKS THROUGH HEBBIAN PLASTICITY
arXiv
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arXiv 2022年
作者: Limbacher, Thomas Özdenizci, Ozan Legenstein, Robert Institute of Theoretical Computer Science Graz University of Technology Graz8010 Austria TU Graz SAL Dependable Embedded Systems Lab Silicon Austria Labs Graz8010 Austria
Memory is a key component of biological neural systems that enables the retention of information over a huge range of temporal scales, ranging from hundreds of milliseconds up to years. While Hebbian plasticity is bel... 详细信息
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TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised P...
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European Signal Processing Conference (EUSIPCO)
作者: Philipp Hallgarten David Bethge Ozan Özdcnizci Tobias Grosse-Puppendahl Enkelejda Kasneci Dr. Ing. h.c. F. Porsche AG Stuttgart Germany TU Munich Germany LMU Munich Germany Institute of Theoretical Computer Science TU Graz Austria TU Graz - SAL Dependable Embedded Systems Lab Silicon Austria Labs Graz Austria
Limited availability of labeled physiological data often prohibits the use of powerful supervised deep learning models in the biomedical machine intelligence domain. We approach this problem and propose a novel encodi...
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TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning
arXiv
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arXiv 2023年
作者: Hallgarten, Philipp Bethge, David Özdenizci, Ozan Grosse-Puppendahl, Tobias Kasneci, Enkelejda Dr. Ing. h.c. F. Porsche AG Stuttgart Germany TU Munich Germany LMU Munich Germany Institute of Theoretical Computer Science TU Graz Austria TU Graz SAL Dependable Embedded Systems Lab Silicon Austria Labs Graz Austria
Limited availability of labeled physiological data often prohibits the use of powerful supervised deep learning models in the biomedical machine intelligence domain. We approach this problem and propose a novel encodi... 详细信息
来源: 评论
A Multi-view Deep Convolutional Neural Network for Reduction of False Positive Findings in Breast Cancer Screening
A Multi-view Deep Convolutional Neural Network for Reduction...
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International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
作者: Nouha Derbel Hedi Tmar Adel Mahfoudhi Computer & Embedded Systems Lab University of Sfax Sfax Tunisia
Screening mammography is commonly the only imaging exam allowing early-stage detection of breast cancer. The early detection is, in fact, associated with a decreased breast cancer mortality rate amongst women. However... 详细信息
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Vote and KNN outlier detection in Wireless Sensor Networks
Vote and KNN outlier detection in Wireless Sensor Networks
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International Symposium on Networks, computers and Communications (ISNCC)
作者: Aymen Abid Salim El Khediri Tarek Moulahi Rym Cheour Abdennaceur Kachouri Computer and Embedded Systems Lab National Engineering School Sfax TUNISIA College of Computer Qassim University Qassim KSA Laboratoire HATEM Bettaher (IRESCOMATH) Gabes Tunisia Advanced Fluid Dynamics Energetics and Evironment Lab National Engineering School Sfax TUNISIA
The target of a Wireless Sensor Network (WSN) designer is to improve the robustness of the network while taking into account constraints such as verifying the detection of anomalies. Preventing anomalies can be assure...
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Stochastic mutual information gradient estimation for dimensionality reduction networks
arXiv
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arXiv 2021年
作者: Özdenizci, Ozan Erdogmuş, Deniz Department of Electrical and Computer Engineering Northeastern University BostonMA United States Institute of Theoretical Computer Science Graz University of Technology Graz Austria TU Graz - SAL Dependable Embedded Systems Lab Silicon Austria Labs Graz Austria
Feature ranking and selection is a widely used approach in various applications of supervised dimensionality reduction in discriminative machine learning. Nevertheless there exists significant evidence on feature rank... 详细信息
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DOMAIN-INVARIANT REPRESENTATION LEARNING FROM EEG WITH PRIVATE ENCODERS
arXiv
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arXiv 2022年
作者: Bethge, David Hallgarten, Philipp Grosse-Puppendahl, Tobias Kari, Mohamed Mikut, Ralf Schmidt, Albrecht Özdenizci, Ozan Dr. Ing. h.c. F. Porsche AG Stuttgart Germany Ludwig-Maximilians University Munich Germany Karlsruhe Institute of Technology Germany Institute of Theoretical Computer Science Graz University of Technology Austria TU Graz - SAL Dependable Embedded Systems Lab Silicon Austria Labs Austria
Deep learning based electroencephalography (EEG) signal processing methods are known to suffer from poor test-time generalization due to the changes in data distribution. This becomes a more challenging problem when p... 详细信息
来源: 评论