In the last decade, the application of membrane-inspired evolutionary algorithms in real-life
problems has attracted much attention due to their flexibility and parallelizability. Almost …

The LoRa wireless connectivity has become a de facto technology for intelligent critical
infrastructures such as transport systems. Achieving high Quality of Service (QoS) in …

Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP)
system rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant …

Pulse coupled neural networks (PCNN, for short) are models abstracting the synchronization
behavior observed experimentally for the cortical neurons in the visual cortex of a cat's brain …

Inspired by Eckhorn's neuron model that emulates a mammal's visual cortex, this paper
proposes a new kind of neural-like P system, called a coupled neural P (CNP) system. The …

This paper proposes a new variant of spiking neural P systems (in short, SNP systems),
nonlinear spiking neural P systems (in short, NSNP systems). In NSNP systems, the state of …

It was recently found that dendrites are not just a passive channel. They can perform mixed
computation of analog and digital signals, and therefore can be abstracted as information …

Automatic segmentation of microaneurysms (MAs), hard exudates (EXs) and optic disc (OD)
are crucial to the diagnostic assessment of diabetic retinopathy (DR). However, the small …

It is a challenge problem how to deal with the uncertainty in fault diagnosis of power
systems. To solve the challenge problem, this paper introduces an interval-valued fuzzy …

Asynchronous spiking neural P systems with multiple channels (SNP systems) operate in an
asynchronous pattern, in which the firing of enabled rules is not obligatory. Asynchronous …