Unlike the deterministic strategies, these search-based techniques are able to deal with large TSs at a feasible cost, delivering very good TC subsets regarding test adequacy criterion coverage.
Generally, MS-based techniques are able to measure lower levels of the insecticides and are more selective in their measurements (e.g., reduce false positives, eliminate interfering components).
PCR-based techniques are able to detect low copy numbers of individual miRNAs with high sensitivity and specificity on both the precursor [ 24, 25] and the mature form of miRNAs [ 26].
Non-contact detection methods based on image processing techniques are able to detect multiple catenary fittings using a single device at a less cost compared to the traditional detection method.
The experimental results show that the features based on T-F image processing techniques are able to improve the performance of both EEG classification and EEG abnormality source localization.
This suggests that features based on T-F image processing techniques are able to help characterize better the abnormality patterns in newborn EEG signals, and also to detect and locate them on the scalp.
For the steam processing part, a correlation base technique was chosen as such techniques are able to correlate well among sensors and are able to efficiently handle missing data (estimating missing values by way of linear regression models using other sensors during that period of time).
Presumably, another benefit of the second-generation sequencing is the ability of the technique to detect diminutive copy number variants down to insertion/deletions of a few bases in length, whereas array or MLPA techniques are able to detect only large variants greater than kilobases in length.
The results show that all techniques are able to achieve a classification error, lower than the base-rate error of 50% (i.e., 171/342).
