Fuzzy number approximations provide a robust framework for representing and managing uncertainty in quantitative analyses. By generating simplified yet accurate representations of fuzzy numbers ...

In previous treat-to-target trials, adjustments to the dose of basal insulin have been made at least weekly, according to ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Approximation - OCR Upper and lower bounds Approximation includes estimation, rounding to powers of 10, decimal places and significant figures. Part of Maths Number ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

Model order reduction (MOR) is a process of finding a lower approximation of the original system. In many practical applications, only a certain frequency interval is of interest. This motivates ...

The local polynomial approximation (LPA) is a nonparametric regression technique with pointwise estimation in a sliding window. We apply the LPA of the argument of cos and sin in order to estimate the ...

Introduction. Social support, the perception of being loved, valued, and esteemed by members of a social network in which there are mutual obligations (), is a complex construct that includes the ...

Table 1 Explicit approximations for the determination of the head loss coefficient (f), ... This is applied because some highly accurate approximations are valid only at limited Re and Ɛ/D intervals ...

I originally created this as a short to-do list of study topics for becoming a software engineer, but it grew to the large list you see today. After going through this study plan, I got hired as a ...

In this paper, two expressions are derived for calculating the time moments and Markov parameters of continuous interval systems. The expressions presented are computationally simple and do not req ...