Titlebook: Numerical Mathematics and Advanced Applications ENUMATH 2017; Florin Adrian Radu,Kundan Kumar,Iuliu Sorin Pop Conference proceedings 2019

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ding changes in forest conditions to the Forest Health Protection (FHP) and State and Private Forestry (S&PF) community for improving aerial detection and forest health survey efficiency. The USFS Remote Sensing Applications Center (RSAC) creates CONUS-wide forest change geospatial layers for the RT

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Daniele Prada,Silvia Bertoluzza,Micol Pennacchio,Marco Livesuegression. The transition rules here represent precedence relationships between a pair of partitions containing consecutive data points in the time-series. In this regard, we propose two neural network ensemble models. The first neural model represents a set of transition rules, each with a distinct

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Alexey Chernyshenko,Maxim Olshanskii the existing research on time-series prediction by the following counts. First, partitions of the time-series, obtained by fragmenting its valuation space over disjoint equal sized intervals, are represented by Interval Type-2 Fuzzy Sets (or Type-1 fuzzy sets in absence of sufficient data points in

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Convergence of Multilevel Stationary Gaussian Convolutionl use the Gaussian scaling in the convolution at the finest level as a proxy for degrees of freedom . in the model. We will show that, for functions in the native space of the Gaussian, convergence is of the order .. This paper provides a baseline for what should be expected in discrete convolution, which will be the subject of a follow up paper.

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