Traditional discussions of phase correlation for image registration consider the usefulness of the technique for feature-rich images and generally restrict image shifts to small percentages of the ...

Overview Objectives Benefits Technology Stack Key Components & Functionality Subsystems Modeling and Simulation Results MathWorks Model and Functions Expected Outcomes References Extended Capabilities ...

Soil organic carbon (SOC) is integral to terrestrial ecosystems, influencing soil health and ecological processes. Soil salinity, a growing concern due to climate change and human activities, can have ...

Single molecule localization microscopy has become a prominent technique to quantitatively study biological processes below the optical diffraction limit. By fitting the intensity profile of single ...

Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders.

The Research Domain Criteria (RDoC) project was proposed by the National Institute of Mental Health in 2010 to create a new diagnostic system including symptoms and data from genetics, neuroscience, ...

Generating boxplot in MATLAB using the default function boxplot.m is a bit cumbersome due to the large number of required (and somewhat strict in terms of format) inputs. Here, I have written a ...

The complex cytoarchitecture of human brain tissue is traditionally studied by histology, providing structural information in 2D planes. This can be partly extended to 3D by inspecting many parallel ...

Abstract: Three-dimensional Digital Image Correlation (3D-DIC) is a non-contact optical-numerical technique for evaluating the dynamic mechanical behavior at the surface of structures and materials, ...

Abstract: The evaluation of the quality of physical unclonable functions (PUFs) is still under research. Most state-of-the-art metrics are found to measure only bias, while correlations, e.g., within ...