Different from previous works, the proposed method makes no assumption on the time resolution.
Here, we present a mathematical approach to normalization that makes no assumption of this sort.
It makes no assumption beyond the traditional processing assumption of statistically independent noise sources.
Based on a nonparametric U-statistic, WU-SEQ makes no assumption of the underlying disease model and phenotype distribution, and can be applied to a variety of phenotypes.
This paper makes no assumption about how servers agree on the ordering of Writes or about how servers make their copies of the database conform to this ordering.
In contrast, control of molecular dynamics through exploitation of quantum interference makes no assumption about the mechanism of energy flow in the molecule.
The AFGROW approach uses crack growth rate data models that are widely available in the open literature and makes no assumption on the cause of the closure phenomenon.
Unlike existing parametric-based methods, the proposed method makes no assumption of the underlying disease models and can be applied to various phenotypes (e.g., binary and quantitative phenotypes) and pedigree structures (e.g., nuclear families and extended pedigrees).
The algorithm makes no assumption of the function to be optimized and for biomedical experiments like those presented here, PSO typically finds the optimal solutions in a few seconds of CPU time on a garden-variety laptop.
The approximation assumes that the wavelength is long compared with the length of the unit period, but makes no assumption about the magnitude of the variation of material parameters.
An analytical/numerical solution is obtained to the governing equations; this solution makes no assumption about either the contact area or the kinematics associated with the transverse deflection of the beam.
