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Among the five neural methods implemented and tested, the proposed neuro-fuzzy classifier performs the best, with classification accuracies around 90% on real concrete pipe images.
In this section, we elaborate upon these three components, while in the subsequent section we describe in depth each of the three case studies, the participatory methods implemented and the key actors involved, with summaries of the results.
The obtained results show that the reliability of the defect diagnosis is strictly related both to the combinations of excitation, conditioning and processing methods implemented and to the type of the defect and its position respect to the inspection instrument.
KV developed and implemented assembly and database bioinformatics methods, implemented and performed parallel analysis and annotation of sequences and repeats, and developed the web interface for the database and alignment viewer.
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VM, AB and JX designed the methods, implemented them and carried out the simulations.
Of the normalization methods implemented, the linear and robust spline methods worked better than the lowess/loess methods.
At the opposite, the methods implemented by Bo and co-workers [ 29] remain the most efficient in all cases.
Tree topology was tested based on statistical methods implemented in CONSEL, and tree distance was quantified using Robinson Foulds metric [ 41] implemented in treedist in the PHYLIP package.
The phylogenetic relationships among HADH2 sequences from different species were determined using Maximum-likelihood (ML) and Bayesian methods, implemented in PAUP v.4.0 b10 [ 65] and MRBAYES v3.1 [ 68], respectively.
The methods implemented included geoelectrical, seismic and GPR techniques.
Third, the previous methods implemented in Iran (BIA and SA) do not explicitly account for dependence structure of risks.
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