In addition, the confined concrete compressive strength was predicted using existing strength equations/models and compared with the experimental results.
With these data and other derived micromechanical parameters, the stress-strain and failure point of these materials was predicted using existing models, and excellent agreement with the experiments was obtained.
The missing values are predicted using existing values from other pre-defined variables in an imputation model.
In addition, we reanalysed our data using multiple imputation (MI), in which missing data are predicted using existing values from other variables (White et al, 2009).
However, the former scenario can be predicted using already existing interaction maps.
Small sequences (< 50 nucleotides) with simpler structures can be accurately predicted using existing methods such as MC-Pipeline or NAST.
The flow pattern for the experimental data was initially predicted using existing flow pattern maps.
Rather, our technique provides guidance for researchers working on proteins whose interactions are not successfully predicted using existing techniques (such as the ING family presented here).
Missing values were predicted using, in addition to existing values of the variable, a set of other variables.
Microhardness profiles for existing cases were predicted using the models that showed a good correspondence with the experimental results.
