The properties like pulse synchronization of neurons and global coupling greatly motivated
researchers to apply pulse coupled neural network (PCNN) models in accomplishing image …

Pulse coupled neural network (PCNN) is widely used in image fusion framework due to its
global coupling and pulse synchronization of neurons. However, its manual setting of …

Rough surfaces exist widely in nature, and the measurement of these surfaces' fractal
dimension is beneficial for understanding their formation mechanism and effect. The basic …

Rocks are continuously affected by dry–wet cycles, which leads to intensified weathering
and deterioration of the mechanical properties and often triggers engineering disasters. This …

Multi-focus image fusion combines the focused parts of multiple images of the same scene
to generate a fully focused image. Dual Channel Pulse coupled neural network (DCPCNN) …

The large deformation of nonlinear soft rock caused by the interaction between water and
rock is a prominent problem faced in engineering rock masses. Furthermore, the strength …

One of the most recent non-invasive technologies to examine the gastrointestinal tract is
wireless capsule endoscopy (WCE). As there are thousands of endoscopic images in an 8 …

Quantitative post-earthquake failure safety assessment of RC framed buildings with non-
ductile joints, as one of the most vulnerable structures, is presented in this study utilizing …

The identification of the updated damage state of the structural components is crucial
following an earthquake for safety assessment and seismic performance evaluation. The …

Fractal dimension, a measure of self-similarity in a structure, is a powerful physical
parameter for the characterization of structural property of many partially filled disordered …