In this paper, we define the conditional Rényi entropy and show that the so-called chain rule
holds for the Rényi entropy. Then, we introduce a relation for the rate of Rényi entropy and …

This paper, introduces the nearest weighted interval and point approximations of a fuzzy
number, and then suggests weighted possibilistic moments about these points of fuzzy numbers…

In this paper, we introduce the definition of the conditional Rényi entropy for continuous
random variables and show that the so-called chain rule holds. Then, we use this rule to obtain …

Objective: To determine the value of known prognostic factors for metastasis in breast
cancer by accounting for patient-specific effect of patients who received surgical treatment …

In this paper a new cost function is introduced by using the fuzzy entropy to choose a
threshold value in image denoising problem. The results are explained with pilot this cost …

Diffusion layers are crucial components of symmetric ciphers&# 8206;. &# 8206; These
components&# 8206;, &# 8206; along with suitable Sboxes&# 8206;, &# 8206; can make …

The operation of modular addition modulo a power of two is one of the most applied operations
in symmetric cryptography. For example, modular addition is used in RC6, MARS and …

Objectives Although hidden Markov model ( HMM ) is known as a powerful tool for the detection
of epidemics based on the historical data, the frequent use of such a model poses some …

To test whether a set of data has a specific distribution or not, we can use the GOODNESS
OF FIT TEST. This test can be done by one of Pearson X2-statistic or the likelihood ratio …

Diffusion layers are an important part of most symmetric ciphers and MDS matrices can be
used to construct perfect diffusion layers. However, there are few techniques for constructing …