Curious about type 1 vs. type 2 diabetes? We'll give you the facts on differences, similarities, causes, risk factors, treatment, and more.

Unlike pseudo-random number generators (PRNGs), which use deterministic algorithms and can potentially be replicated or predicted, TRNGs derive their randomness directly from chaotic natural ...

In this article, a novel model-free dynamic inversion-based Q-learning (DIQL) algorithm is proposed to solve the optimal tracking control (OTC) problem of unkno ...

A non-deterministic decoding algorithm for binary coded genetic algorithms is presented. The proposed algorithm enhances the precision of the GA solutions by introducing a Gaussian perturbation to the ...

The target of the optimization in the present study would be to determine the parameters of controllers in the extractive distillation section for a given disturbances during the unsteady-state ...

The results appeared robust to a number of deterministic sensitivity and probabilistic analyses. The cost-effectiveness acceptability curve indicated that at the NICE £20 000 willingness to pay ...

Tool for converting a non deterministic finite automaton to a deterministic one.