Titlebook: Network Coding and Subspace Designs; Marcus Greferath,Mario Osvin Pavčević,María Ángele Book 2018 Springer International Publishing AG 201

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Elisa Gorla,Alberto Ravagnanion to facilitate the inclusion and reduction of distances between agents and tasks while evaluating the qualified association of the requirement and schedules as categorical variables. We integrate a modular method based on hexagonal tessellation, reducing the dedicated time from 5 days to 90 min an

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Kamil Otal,Ferruh Özbudakof COVID-19 data can be modeled using complex networks. The complex network model provides a general description of contagion dynamics in the 11 countries and worldwide situation. This paper contributes by highlighting the limitations of using statistical models to infer and study early time series

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Diego Napp,Filipa Santanam of two differential equations modelling the interacting hormones. The parameters of the two models are identified according to different calibration approaches by means of patient data collected in a retrospective study in collaboration with the Medical University of Vienna. The hormonal course in

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1860-4862 aduate students in Mathematics, Computer Science, and Electrical Engineering a comprehensive reference guide to the construction of optimal network codes, as well as efficient encoding and decoding schemes for 978-3-319-88917-7978-3-319-70293-3Series ISSN 1860-4862 Series E-ISSN 1860-4870

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