Sentence examples for time-consuming determination from inspiring English sources
The costly and time-consuming determination of thermophysical properties of nanofluids through the experimental analysis leads the current investigations to use the soft computing methods like correlating, artificial neural network (ANN) and genetic algorithm.
The development of our understanding on the relationship of processes and their quantitative assessment, based on thermodynamic equations of chemical equilibria, allows in many considered cases to replace the time-consuming determination of total content and mobile forms of chemical elements on easily measured pH values, the analytical (total) concentration of components, etc.
A major benefit of the approach is that time consuming determination of the cure kinetics using differential scanning calorimetry (DSC) is not required.
Logistical impediments to the use of GIA in large scale population-based field studies have included the limited volume of blood that can be obtained from research participants, particularly children and infants, and time consuming determination of parasite growth endpoints.
A computer-aided method has been developed for subsite mapping of α-amylases, which substitutes the difficult, expensive, and time-consuming experimental determination of action patterns to crystal structures based energy calculations.
Direct measurement of free phenytoin concentrations in plasma is more costly and time-consuming than determination of total phenytoin concentrations.
At present, no molecular tools are available to replace the time-consuming race-determination tests.
The most time-consuming procedure is determination of overlapping between different filler particles with computational efforts scaled with number of particles in the system as N!
The SE-FNAAPDS combination of fuzzy modeling, back-propagation training and symbiotic evolution function auto-generates its own optimal fuzzy neural architecture, a significant advantage over previous time-consuming manual parameter determination.
The SE-FNTDS combination of fuzzy modeling, back-propagation training and symbiotic evolution function auto-generates its own optimal fuzzy-neural architecture, a significant advantage over previous time-consuming manual parameter determination.
The SE-FNDS combination of fuzzy modeling, back-propagation training and symbiotic evolution function auto-generates its own optimal fuzzy-neural architecture, a significant advantage over previous time-consuming manual parameter determination.
