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Lastly, Ho et al. studied a method of reviewing the ground contact stability of mobile cranes, but only main items were explained and a formula was proposed (lacking detailed review items and procedure), and no automatic model was proposed ([Ho, Seo and Kim 2007]).
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Finally, more sophisticated automatic models are implemented that can self-learn a subset or all of the model parameters.
It was indicated that automatic models were outperformed since they required too much time for tuning the parameters without any meaningful improvement in the final classification accuracy.
Automatic models are now rated at 26 mpg in the city and 36 mpg on the highway.
With both the native and the mercury derivative data, SIRAS phases were calculated using SOLVE and improved by solvent flattening using the program DM. Automatic model building was carried out with the software RESOLVE [37] and 112 residues were traced per ASU.
But an automatic learning model is expected to learn wrong knowledge that can be identified at the later stages as the model grows in experience.
Measuring the effect of moisture on the acoustic emission characteristics of rocks, and establishing an automatic identification model are the outstanding issues at present.
In this regard, an intelligent automatic recognition model is developed in order to enhance the true classification rate of sub-Golgi proteins.
Automatic model building was performed with the program ARP/wARP [23].
Automatic model building was done with Phenix Resolve (Terwilliger, 2003) for two thirds of the structure.
A method for automatic model reduction is proposed and found to be highly effective.
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