More advanced methodologies exist but are more complex and require more computational time [12, 13].
Even if applied to the most popular methodology of TRT analysis and to a simplified case, the probabilistic approach seems able to be easily adapted also for the processing of TRT data by more advanced methodologies.
Due to the nonlinear structural behaviour of reinforced concrete structures, linear elastic analysis can lead to an inaccurate assessment of the behaviour and, therefore, it can become necessary to use more advanced methodologies to achieve sufficiently accurate analysis.
Here, light scattering methods sensitive to larger particles are often useful for end point determination if more advanced methodologies such as classifying or ES-DMA are not practical or available.
While we can not rule out that more advanced classification methodologies and/or better distance metrics might be applicable in order to improve prediction accuracy, it is quite interesting and exciting that standard, simple methods are quite accurate and useful.
More advanced computational methodologies including supervised learning (Shipp et al, 2002) and artificial neural networks have also been used to define subtypes of breast (Seker et al, 2002) and colorectal cancer (Selaru et al, 2002).
30 Most recent binding site classification methods now use a combination of both sequence data and structural properties and as such require more advanced classification methodologies such as Support Vector Machines, Bayesian Networks, Neural Networks, Hidden Markov Models or Conditional Random Fields.
Yet, increasing requirements for sophisticated microbial biosynthesis call for establishment and application of more advanced metabolic engineering methodologies.
In contrast, the "tag-and-count -based metag-and-count -basedmore advanced instag-and-count -basedre costag-and-count -basedve, but their capability of exhaustive transcript samethodologies the potential identification of novel mrequire
Because of the continuous development of more efficient algorithms harvesting ever-expanding computational resources, and the emergence of more advanced and novel theories and methodologies, the scope of computational studies has expanded significantly over the past decade, now including much larger molecular systems and far more complex molecular phenomena.
The calibration methodology can also be extended to more advanced LB methods.
