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Abstract: In this paper, we discover that univariate form of a Niho bent function is a sum of functions having the form of a Leander-Kholosha bent function taken with particular coefficients from F*(2 ...
Time series data are recorded in various sectors, resulting in a large amount of data. However, the continuity of these data is often interrupted, resulting in periods of missing data. Several ...
Abstract: Univariate multi-step time series forecasting (UMTF) has many applications, such as the forecast of access traffic. The solution to the UMTF problem needs to efficiently capture key ...
Long short-term memory (LSTM) in an artificial recurrent neural network(RNN) is an architecture of deep learning. Let us take an example of any sequential data, which can be weather data or stock ...
This paper develops a method for estimating value-at-risk and conditional value-at-risk when the underlying risk factors follow a beta distribution in a univariate and a matrix-variate setting. For ...
Univariate and Multivariate QTL Analyses Reveal Covariance Among Mineral Elements in the Rice Ionome
Rice provides more than one fifth of daily calories for half of the world’s human population, and is a major dietary source of both essential mineral nutrients and toxic elements. Rice grains are ...
How do I do that in data.table? Find code for dozens of data tasks in this searchable cheat sheet of R data.table and Tidyverse code. Speed. Concise syntax. Backwards compatibility. But especially ...
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