S-boxes (vector output Boolean functions) should satisfy cryptographic criteria even if some input bits (say, k bits) are kept constant. However, this kind of security has been studied only for scalar output Boolean functions. SAC(k) is a criterion for scalar output Boolean functions of this type. This paper studies a generalization of SAC(k) to vector output Boolean functions as the rst step t...

In this study, a three–layer artificial neural network (ANN) model was developed to predict the pressure gradient in horizontal liquid–liquid separated flow. A total of 455 data points were collected from 13 data sources to develop the ANN model. Superficial velocities, viscosity ratio and density ratio of oil to water, and roughness and inner diameter of pipe were used as input parameters of ...

The famous CHSH game can be interpreted with Boolean functions while understanding the success probability in classical scenario. In this paper, we have exhaustively studied all on four variables to express binary input output two-party nonlocal games and explore their performance both quantum scenarios. Our analysis finds out some other (other than game) which offer a higher scenario as compar...

Prediction, diagnosis, recovery and recurrence of the breast cancer among the patients are always one of the most important challenges for explorers and scientists. Nowadays by using of the bioinformatics sciences, these challenges can be eliminated by using of the previous information of patients records. In this paper has been used adaptive nero fuzzy inference system and data mining techniqu...

This study proposes a direct parameter estimation approach from observed input–output data of a stochastic singleinput–single-output fractional-order continuous-time Hammerstein–Wiener model by extending a well known iterative simplified refined instrumental variable method. The method is an extension of the simplified refined instrumental variable method developed for the linear fractional-ord...