Point cloud based methods and color based methods relied on one type of sensing data for capturing, retrieving, and modeling as-built building conditions.
Single image based methods rely on the typical characteristics of haze-free images.
While non-amplification based methods make use of hybridization strategies with DNA or RNA probes, amplification based methods rely on reactions such as polymerase chain reaction (PCR) to amplify the amount of nucleic acids for better sensitivity [8].
For example determining the age of manufacturing of clothing found on a body, tree ring development, dates on personal effects, etc. Concurrence based methods rely on both evidence associated with the body and anamnestic evidence such as the deceased's normal pattern of movements (Pounder 1995).
PCR-SSOP (Sequence Specific Oligonucleotide Probes), another nucleic acid-based method, relies on PCR amplification of the locus of interest followed by probing with oligonucleotides designed to recognize specific SNPs [ 13].
Nevertheless since the crosstalk improvement by our SVD-based method relies on no assumption on either specific spectral range or specific combinations of the molar extinction coefficients, we expect the improvement to be consistent when using other pairs of wavelengths.
Our algorithm, which is based on the Closest Point Method, relies on an embedding of the surface in a higher-dimensional space, where standard Cartesian finite difference and interpolation schemes can be easily applied.
Unlike the common trend based on point matches, the proposed method relies on the deformation of an active contour fitted to a reference object.
This method relies on base-specific cleavage and mass spectrometry to measure the level of methylation in DNA fragments (referred to herein as units) containing one or more CpGs [ 69].
For our observationally based method we rely on a geostatistical analysis of ground observations of PM2.5 concentrations because of the relatively large number of monitoring stations providing accurate measurements across the U.S. By combining methods like LUR and BME we can create a model that is numerically efficient, applicable and interpretable over a large domain size.
Because our method relies on single base extension with labeled dideoxynucleotides on replicate arrays, we are able to measure nucleotide frequency without prior knowledge of candidate SNPs.
