Sentence examples for formation prediction from inspiring English sources

Different methods of hydrate formation prediction were discussed and finally the new promising neural networks method was used.

Because of the previous works defects in accurate hydrate formation prediction via neural networks, a new use of neural networks was introduced.

The phase formation prediction in different Cu Sn alloy systems from Pourbaix diagrams constructed using FactSage revealed the formation of higher amount of SnO2 with an increase in Sn content in the coatings.

Studies of hydrate formation prediction are presented in two general categories, thermodynamic models and empirical correlations.

To build a model for EC phenotype and lumen formation prediction, critical signaling pathways of EC migration, apoptosis, proliferation, and lumen formation are combined.

[Abstract available: www.informaworld.com/smpp/content∼db=all∼content=a789837904] In this study, Fulton and Sabatino aim to make precalculus learning more accessible to biology students by using what they describe as four phases of the scientific method: observation/characterization, hypothesis formation, prediction, and experimentation/validation.

This leads to changes in the local gas composition, primarily CO distribution, which in turn influences NO formation predictions.

A reduced toluene reference fuel (TRF, n-heptane, iso-octane and toluene -polycyclic-aromatic hydrocarbon (PAH) chemistoluene -polycyclic-aromatices and 543 reactoluene -polycyclic-aromatiction, PAhydrocarbonformation PAHdichemistry

Although reducing sugar content is well correlated with acrylamide formation, predictions of acrylamide formation in crisps are difficult to make with confidence, unless a variety is chosen that has been shown to produce crisps consistently with levels of acrylamide below the indicative value of 1000 μg/kg set by the European Commission European Commissionn, 2011).

However, in the setting of predictive coding, they play a simpler and more fundamental role in the formation of prediction errors.

They're trying to better understand tornado structure and strength, how low-level winds affect and damage buildings, and to learn more about tornado formation and prediction.