Network coding of rateless video in streaming overlays

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Since polar were ratified as part of the 5G standard, low-complexity polar decoders with close-to-optimum error-rate performance have received significant attention. Compared to successive cancellation (SC) decoding, both SC list and SC flip decoding can i ...

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With the emergence of social networks and improvements in the internet speed, the video data has become an ever-increasing portion of the global internet traffic. Besides the content, the quality of a video sequence is an important issue at the user end wh ...

In the domains of machine learning, data science and signal processing, graph or network data, is becoming increasingly popular. It represents a large portion of the data in computer, transportation systems, energy networks, social, biological, and other s ...

The de-facto standard decoding algorithm for polar codes, successive cancellation list (SCL) decoding, is a breadth-first search algorithm. By keeping a list of candidate codewords, SCL decoding improves the performance as the list size L increases. Howeve ...

Supplementary datasets accompanying the manuscript "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds" published in the Metabolic Engineering Journal (https://doi.org/10.1016/j.ymben.2022.03.013). In line w ...

Internet ranking algorithms play a crucial role in information technologies and numerical analysis due to their efficiency in high dimensions and wide range of possible applications, including scientometrics and systemic risk in finance (SinkRank, DebtRank ...

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Network coding of rateless video in streaming overlays

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Dynamic SCL Decoder With Path-Flipping for 5G Polar Codes

Critical node selection method for efficient Max-Pressure traffic signal control in large-scale congested networks

Optima Age Over Erasure Channels

Fair Incentivization of Bandwidth Sharing in Decentralized Storage Networks

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Feature-based no-reference video quality assessment using Extra Trees

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Supplementary datasets for "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds"

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