The approach offers benefits over existing superstructure based approaches in that individual optimization problems are computationally significantly less expensive whilst the overall approach provides the design engineer with multiple distinct design candidates to stimulate improved understanding.
The paper discusses efficacy of both RGB calibration and phase shifting techniques in sensing applications and proposes a neural network based approach in an expert system environment that can extract load information from photoelastic images in real time.
Since the neural network technique shows better performance than empirical model based approach in breakwater design, it is expected that the neural network integrated reliability analysis gives more improved results for probability of failure than it is done with empirical model.
Using the evolutionary based approach in PolyPhen, we also proposed that two nonsynonymous substitutions in codon 11 in ND4L and in codon 73 in ND6 have been most likely acquired after integration of the mtAncestor-2 sequence into the nuclear genome.
While we are not able to compare costs to a paper based approach in this study, it is likely that a cost of $0.30 per survey compares favorably.
Our results show the limited value of traditional lexicon/dictionary based approaches in extracting "key" compounds and that the major impediment is not the performance of the name-to-structure software used, but the high rate of OCR errors, typos and lexicographic problems found in patent-office data feeds.
Even in the absence of optimal tools and cellular platforms, there are numerous reports of successful production of carbohydrates, alcohols, lipids, phenyl propanoids, and terpenoids that prove that synthetic biology based approaches in cyanobacteria are likely to result in the economically feasible production of biomolecules, including drugs and fuels.
The assumption of the correctness of geometry based approaches in analysis of PPI network is that a pair of proteins will be assigned an interaction if they are close in an embedded space whereas NPPIs correspond to points that are further away in that space [1], [22].
We have opted to follow a dispersal-based approach in that both pioneering events and invasions can be thought of as dispersal that can occur at any time in the life cycle.
The training process and classification results of the fuzzy-logic method by Cheron et al. (39) are superior to those of Neural Network based approaches; primarily in that the fuzzy system gives more consistent classification results and is insensitive to over-training.
