Numerous methods such as block matching and decorrelation-based techniques have been proposed to overcome these limitations.
Numerous methods such as spectrophotometry, fluorimetry, and chromatography have been reported for the detection of hydrazine, sulfite, and nitrite.
Physical approach utilizes numerous methods such as evaporation/condensation and laser ablation, whereas chemical approach involves the metal ions in solution which are reduced in conditions favoring the successive formation of small metal clusters or aggregates [68, 69, 70].
Numerous methods, such as MS-SSIM [21], ESSIM [22], GSSIM [23], 3-SSIM [24], CW-SSIM [25], and IW-SSIM [26], have been improved on the basis of SSIM, and these methods enhance the assessment result to a certain level.
To enhance catalytic performance and stability, numerous methods such as structural modifications and complex formations with other functional materials are proposed, and they are basically based on well-defined and well-ordered catalytic active sites by exquisite control at nanoscale.
Numerous methods, such as spectral transform[1, 2], moment invariants[3, 4], iso-area normalization[5], time series[6], B-splines[7], curvature scale space (CSS [8, 9], shape contexts[10], shape signature[11], diagonals of orthogonal projection matrices (DOPM [12], multiscale oriented corner correlation[13], etc., have been proposed for shape matching under affine transformations.
For instance, numerous preprocessing methods, such as the histogram equalization, gamma correction, and logarithm transform, are widely used for the illumination normalization.
In order to reinforce anchorage, numerous conventional methods such as adding more possible teeth to the anchor unit, increase of torque, the use of trans-palatal arch, Nance holding appliance, different types of headgear, J hooks, cortical anchorage, and inter-arch elastics have been attempted.
Genotyping assays for CYP2C19 can be performed with numerous molecular methods, such as real-time PCR, allele-specific PCR, PCR-RFLP, pyrosequencing, and bidirectional sequencing.
With the information obtained from more SNP, definition of LD in the area increases, improving the ability to be able to localise causal variants using numerous statistical methods, such as iHS and XP-EHH, that have been developed to identify signatures left in the genome by selection.
There have been numerous methods to achieve such a target.
