Academic literature on the topic 'Single-sender index coding problems'

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Journal articles on the topic "Single-sender index coding problems"

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Thapa, Chandra, Lawrence Ong, Sarah Johnson, and Min Li. "Structural Characteristics of Two-Sender Index Coding." Entropy 21, no. 6 (2019): 615. http://dx.doi.org/10.3390/e21060615.

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This paper studies index coding with two senders. In this setup, source messages are distributed among the senders possibly with common messages. In addition, there are multiple receivers, with each receiver having some messages a priori, known as side-information, and requesting one unique message such that each message is requested by only one receiver. Index coding in this setup is called two-sender unicast index coding (TSUIC). The main goal is to find the shortest aggregate normalized codelength, which is expressed as the optimal broadcast rate. In this work, firstly, for a given TSUIC pr
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Arunachala, Chinmayananda, Vaneet Aggarwal, and B. Sundar Rajan. "Optimal Linear Broadcast Rates of Some Two-Sender Unicast Index Coding Problems." IEEE Transactions on Communications 67, no. 6 (2019): 3965–77. http://dx.doi.org/10.1109/tcomm.2019.2907538.

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Idrisov, Baskhad, and Tim Schlippe. "Program Code Generation with Generative AIs." Algorithms 17, no. 2 (2024): 62. http://dx.doi.org/10.3390/a17020062.

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Our paper compares the correctness, efficiency, and maintainability of human-generated and AI-generated program code. For that, we analyzed the computational resources of AI- and human-generated program code using metrics such as time and space complexity as well as runtime and memory usage. Additionally, we evaluated the maintainability using metrics such as lines of code, cyclomatic complexity, Halstead complexity and maintainability index. For our experiments, we had generative AIs produce program code in Java, Python, and C++ that solves problems defined on the competition coding website l
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Ong, Lawrence, Chin Keong Ho, and Fabian Lim. "The Single-Uniprior Index-Coding Problem: The Single-Sender Case and the Multi-Sender Extension." IEEE Transactions on Information Theory 62, no. 6 (2016): 3165–82. http://dx.doi.org/10.1109/tit.2016.2555950.

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Wu, Xiaoqin, Xiaoli Yang, Zhenwei Li, Lipei Liu, and Yuxin Xia. "Multimodal brain tumor image segmentation based on DenseNet." PLOS ONE 19, no. 1 (2024): e0286125. http://dx.doi.org/10.1371/journal.pone.0286125.

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A brain tumor magnetic resonance image processing algorithm can help doctors to diagnose and treat the patient’s condition, which has important application significance in clinical medicine. This paper proposes a network model based on the combination of U-net and DenseNet to solve the problems of class imbalance in multi-modal brain tumor image segmentation and the loss of effective information features caused by the integration of features in the traditional U-net network. The standard convolution blocks of the coding path and decoding path on the original network are improved to dense block
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Zech, Michael, Katharina Poustka, Sylvia Boesch, et al. "SOX5-Null Heterozygous Mutation in a Family with Adult-Onset Hyperkinesia and Behavioral Abnormalities." Case Reports in Genetics 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/2721615.

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SOX5encodes a conserved transcription factor implicated in cell-fate decisions of the neural lineage.SOX5haploinsufficiency induced by larger genomic deletions has been linked to a recognizable pediatric syndrome combining developmental delay with intellectual disability, mild dysmorphism, inadequate behavior, and variable additional features including motor disturbances. In contrast toSOX5-involving deletions, examples of pathogenicSOX5small coding variations are sparse in the literature and have been described only in singular cases with phenotypic abnormalities akin to those seen in theSOX5
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Zeydan, Engin, and Yekta Turk. "On the Impact of Satellite Communications over Mobile Networks: An Experimental Analysis." IEEE Transactions on Vehicular Technology 68, no. 11 (2019): 11146–57. https://doi.org/10.1109/TVT.2019.2932446.

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Future telecommunication systems are expected to co-exist with different backhauling nodes such as terrestrial or satellite systems. Satellite connectivity can add flexibility to backhauling networks and provide an alternative route for transmission. This paper presents experimental comparisons of satellite and terrestrial based backhaul networks and evaluates their performances in terms of different Key Performance Indicators (KPIs) including Channel Quality Index (CQI), Modulation Coding Scheme (MCS) index, Downlink (DL) throughput, Frame Usage (FU) ratio and number of Resource Block (RB) ut
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Krylov, Sergey A., Gleb I. Zagrebin, Anton V. Dvornikov, Dmitriy S. Loginov, and Ivan E. Fokin. "The automation of processes of atlas mapping." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-193-2019.

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<p><strong>Abstract.</strong> Atlas mapping is one of the priorities of the modern mapping industry. It is connected both with the unceasing popularity of traditional atlases in the printing version, and with the active introduction and use of interactive electronic and web atlases, as well as with the development of atlas information systems. Currently there are no generalizing methodological solutions for automating the atlas compilation processes, despite the importance and perspectives of atlas mapping. In addition, there is no software which ensures all requirements for
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Fidler, Andrew E., Kees van Oers, Piet J. Drent, Sylvia Kuhn, Jakob C. Mueller, and Bart Kempenaers. "Drd4 gene polymorphisms are associated with personality variation in a passerine bird." Proceedings of the Royal Society B: Biological Sciences 274, no. 1619 (2007): 1685–91. http://dx.doi.org/10.1098/rspb.2007.0337.

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Polymorphisms in several neurotransmitter-associated genes have been associated with variation in human personality traits. Among the more promising of such associations is that between the human dopamine receptor D4 gene ( Drd4 ) variants and novelty-seeking behaviour. However, genetic epistasis, genotype–environment interactions and confounding environmental factors all act to obscure genotype–personality relationships. Such problems can be addressed by measuring personality under standardized conditions and by selection experiments, with both approaches only feasible with non-human animals.
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Borgundvaag, B., W. Khuu, S. L. McLeod, and T. Gomes. "LO11: Opiate prescribing in Ontario emergency departments." CJEM 19, S1 (2017): S31. http://dx.doi.org/10.1017/cem.2017.73.

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Introduction: Increased prescribing of high potency opioids has been associated with increasing opioid addiction and linked to serious adverse outcomes including misuse, diversion, overdose and death. Problems related to opioids are a major Canadian public health concern yet few data are available on prescribing in most Canadian provinces. The objective of this study was to describe opioid prescribing in Ontario EDs and patient harms associated with this practice. Methods: We conducted a population-based cohort study among Ontario residents aged 15-64 years who were eligible for public drug co
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Dissertations / Theses on the topic "Single-sender index coding problems"

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Chinmayananda, A. "Optimal Code Constructions for Some Multi-sender Index Coding Problems." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/5055.

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An instance of the multi-sender index coding problem consists of a set of senders collectively having all the messages demanded by a set of receivers. Each receiver knows a subset of messages a priori, called its side information, and receives all the transmissions from all the senders. Each sender avails the knowledge of the side information and the demands of all the receivers, and the knowledge of messages available with other senders, to broadcast coded messages called an index code. Transmissions of each sender are orthogonal in time with those of others. The objective is to minimi
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Thapa, Chandra. "Graphical approaches to single-sender and two-sender index coding." Thesis, 2018. http://hdl.handle.net/1959.13/1388175.

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Research Doctorate - Doctor of Philosophy (PhD)<br>In index coding, a sender broadcasts messages through a noiseless broadcast channel to multiple receivers, each possessing a subset of the messages a priori, known as side-information. The sender knows the side-information available at each receiver, and uses that information to broadcasts coded messages, called an index code, such that all receivers can decode their requested messages using their side-information and the received index code. The aim is to find an index code with the minimum information bits per received message bits, called t
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Book chapters on the topic "Single-sender index coding problems"

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Lu, Ming. "Analyzing Deep Learning-Based Techniques for Generating Long Text Summaries." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia241080.

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In order to solve the problem that text feature mining is insufficient due to the single feature word vector input form at the coding end, which further affects the extraction of text semantic information by the neural network model, the analysis of long text summary generation technology based on deep learning is proposed. This paper introduces the word frequency feature and semantic feature of words, and integrates the TF-IDF value of feature words and the semantic value obtained by LSA through naive Bayesian formula to form a new word vector. It effectively integrates the multi-dimensional
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Conference papers on the topic "Single-sender index coding problems"

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Chinmayananda, A., and B. Sundar Rajan. "Optimal Scalar Linear Index Codes for Some Two-Sender Unicast Index Coding Problems." In 2018 International Symposium on Information Theory and Its Applications (ISITA). IEEE, 2018. http://dx.doi.org/10.23919/isita.2018.8664234.

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Arunachala, Chinmayananda, Vaneet Aggarwal, and B. Sundar Rajan. "Optimal Broadcast Rate of a Class of Two-Sender Unicast Index Coding Problems." In 2019 IEEE Information Theory Workshop (ITW). IEEE, 2019. http://dx.doi.org/10.1109/itw44776.2019.8989283.

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Vaddi, Mahesh Babu, and B. Sundar Rajan. "On the Broadcast Rate and Fractional Clique Cover of Single Unicast Index Coding Problems." In 2018 IEEE Information Theory Workshop (ITW). IEEE, 2018. http://dx.doi.org/10.1109/itw.2018.8613453.

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