Sentence examples for much better predictions from inspiring English sources
Results indicate that the proposed model gives much better predictions of load carrying capacity than both the initial design approach and the available design codes.
The PLE/NPLE model gives much better predictions than the PE model for carbon enrichment in untransformed austenite at the end of partitionless growth.
The modified PSRK model keeps the good accuracy of the original PSRK model for symmetric and slightly asymmetric systems, while gives much better predictions for the VLE of highly asymmetric systems.
In an interview with the New York Times John Markofff at Stanford School of Medicine's emerging tech conference Medicine X last week, she elaborated, "People are buying FitBits but writing their own software, and as we can make much better predictions, there's a sea change" in consumer and employer involvement in wellness.
As discussed by Peters (1985), for the very same number of chemical species transported with the flow, a scheme introducing essential intermediate species through analytical relations derived from quasi-steady state and equilibrium assumptions, provides much better predictions than the global schemes limited to the transported species.
Inclusion of host-tree density data would lead to much better predictions than a simple presence/absence indicator because an invasion may fail due to Allee effects when the density of susceptible trees is too low [25].
ANFIS, having only 32 rules, provided much better prediction results than ARX model.
Interestingly, non-linear thermal contraction coefficient gave much better prediction than linear approach.
They both lead to a much better prediction than that achieved by other tested criteria.
The proposed CMKF requires more time complexity in comparison with KF, arbitrate OFKF, and optical flow, but it showed much better prediction accuracy than the others.
The experimental results proved that our WELM LAG model can extract the hidden key information beyond the sequence itself and obtain much better prediction results than previous method.
