This paper surveys the extensive usage of pulse coupled neural networks. The visual cortex
system of mammalians was the backbone for the development of pulse coupled neural …

Pulse-coupled neural networks (PCNN) have an inherent ability to process the signals
associated with the digital visual images because it is inspired from the neuronal activity in …

Many types of medical images must be fused, as single‐modality medical images can only
provide limited information due to the imaging principles and the complexity of human organ …

Computational imaging provides comprehensive and reliable information about human
tissue for medical diagnosis and treatment, with medical image fusion as one of the most …

Recently, many researchers have paid their more attention to image fusion technique based
on pulse coupled neural network (PCNN). In order to make the researchers to rapidly …

In this paper, a review of parameter optimization methods of pulse-coupled neural networks
(PCNNs) is presented. Considering that PCNN has been used in image processing for many …

The data-driven empirical mode decomposition (EMD) method is designed to analyze the
non-stationary signals like biomedical signals originating from nonlinear biological systems …

Cutting tool rotation errors have significant influence on the machined surface quality,
especially in micromilling. Precision metrology instruments are usually needed to measure …

The present study is focused on the construction of a well-performing pilot controlled
proportional flow valve with internal displacement-flow feedback. A novel control strategy for …

Mammogram exam images are useful in identifying diseases, such as breast cancer, which
is one of the deadliest cancers, affecting adult women around the world. Computational …