Ai Feedback
Exact(7)
A new optical security system is proposed using a shifted phase-encoded joint transform correlation (JTC) architecture.
The filtering technique has also been implemented by using phase-only joint transform correlation (POJTC) for optical image processing applications.
Also, the capability of CNN for image processing and feature extraction has been improved using basic joint transform correlation architecture.
To design a robust swimmer tracking system, we took into account two well-known tracking techniques: the nonlinear joint transform correlation (NL-JTC) and the color histogram.
In this paper, a one-dimensional shifted phase-encoded fringe-adjusted joint transform correlation (SPFJTC) technique is developed for hyperspectral image processing system.
The second step is based on an optical joint transform correlation (JTC -based system (NZ-NL-correlation JTC -basedchieving improved detection and tracking of moving persystemn a confined space.
Similar(53)
After the Fisher's transformation, the transformed correlation value of each subsequent stage was subtracted from the counterpart values in the preceding stage, and a differential correlation value (dC) was obtained as calculated by equation 2. Consequently, four dC values corresponding to the four stage transitions were assigned to each gene pair.
Correlations were compared using a two-tailed z-test of the corresponding (Fisher transformed) correlation coefficients.
Z values are the transformed correlation coefficients (Fisher 1958), and the Sigma Z values are the standard errors (which depend only on the number of data pairs) of the Z values ln left(Yhboxright)= ln (Y -0.0545kern0.5em Y -0.0545kern0.5em X
For example, choosing a metric of reproducibility that uses the intersection of splits containing differing set sizes (i.e. Fisher transformed correlation coefficient), or a measure of accuracy that assigns a binary classification to tertiary distance (i.e. CASP prediction criteria) are alternative definitions and can thus be investigated in our pipeline framework.
The backward transformed correlation coefficients were also expressed in variance explained (r).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com