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Schloss Dagstuhl - Leibniz Center for Informatics
For some weeks now, the dblp team has been receiving anexceptionally high number of support and error correction requests from the community. While we are grateful and happy to process all incoming emails, please assume thatit will currently take us several weeks to read and address your request. Most importantly,please refrain from sending your request multiple times. This will not advance your issue and will only complicate and extend the time required to address it. Thank you for your understanding.
Joint Declaration:The freedom of science is at the heart of liberal, democratic societies. Without this freedom, it is impossible for scientific efforts to be geared toward gaining knowledge and facts. It is therefore extremely worrying that the scientific freedom is coming under increasing pressure in various regions of the world.(read more)
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    GS-L.1:Image Restoration and Reconstruction

    GS-L.2:Image and Video Enhancement

    GS-L.3:Machine Learning for Signal Processing

    GS-L.4:Localization in Wireless Networks

    GS-L.5:Image-Based Quality Assessment and Performance Analysis

    GS-L.6:Signal Processing Theory and Methods I

    GS-L.7:Compressive Sensing and Sparsity Theory

    GS-P.1:Massive MIMO

    GS-P.2:Wireless Communications

    GS-P.3:Speech and Audio Signal Processing

    GS-P.4:Radar/Sonar/DOA Estimation

    GS-P.5:Signal Processing Theory and Methods II

    GS-P.6:Compressed Sensing, Sparsity Analysis and Applications

    States GS-P.7:Image and Video Processing for Applications

    GS-P.8:Neural Networks for Image and Video Processing

    BIO-L.1:Signal Processing for Rehabilitation & Assistive Systems

    BIO-L.2:Signal Processing for Wearable Health Technologies

    BIO-L.3:Neural Signal Processing and BCI Systems

    BIO-L.4:Bio-Signal Processing & Machine Learning for MCPS

    BIO-L.5:Biomedical Image Processing I

    BIO-L.6:Biomedical Image Processing II

    DLW-L.1:Design and Implementation of Deep Learning for Wireless Communications

    DLW-L.2:Deep-Learning-Based Signal Processing for Wireless Communications

    DLW-L.3:Deep-Learning-Based Network Optimization for Wireless Communications

    DLN-L.1:Distributed Learning & Optimization:Algorithms

    DLN-L.2:Distributed Learning & Optimization:Applications I

    DLN-L.3:Distributed Learning & Optimization:Applications II

    GSP-L.1:Graph Signal Processing I

    GSP-L.2:Graph Signal Processing II

    GSP-P.1:Graph Signal Processing III

    GCN-L.1:Energy Harvesting

    GCN-L.2:Energy Efficiency in Massive MIMO

    GCN-L.3:Signal and Information Processing for Energy Efficiency

    SMI-L.1:Optimization and Control in Smart Grids

    SMI-L.2:Resilience and Security of Power Grids

    SMI-L.3:Learning in Energy Systems

    SMI-P.1:Monitoring, Control and Markets in Energy Systems

    MHI-L.1:Multispectral and Hyperspectral Imaging and Analysis I

    MHI-L.2:Multispectral and Hyperspectral Imaging and Analysis II

    5GS-L.1:5G Technologies

    5GS-P.1:5G Satellite Networks

    RA-L.1:Instrumentation and RFI Mitigation

    RA-L.2:Signal Detection

    RA-L.3:Estimation, Mitigation and Performance

    AML-L.1:Adversarial Machine Learning I

    AML-P.1:Adversarial Machine Learning II

    IVC-L.1:Advanced PHY Techniques for Intelligent Vehicular Communications

    IVC-L.2:Applications in Internet of Intelligent Vehicles

    MMW-L.1:Millimeter Wave Communications I

    MMW-L.2:Millimeter Wave Communications II

    WNS-L.1:Wireless Network Security I

    WNS-L.2:Wireless Network Security II

    TM-L.1:Theory/Algorithms I

    TM-L.2:Theory/Algorithms II

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    dblp was originally created in 1993 at:

    University of Trier  

    since 2018, dblp has been operated and maintained by:

    Schloss Dagstuhl - Leibniz Center for Informatics  

    the dblp computer science bibliography is funded and supported by:

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