Nature-inspired computing is a type of human-designed computing motivated by nature,
which is based on the employ of paradigms, mechanisms, and principles underlying natural …

Automatic extraction of liver and tumor from CT volumes is a challenging task due to their
heterogeneous and diffusive shapes. Recently, 2D deep convolutional neural networks …

Cyber-attacks can tamper with measurement data from physical systems via communication
networks of smart grids, which could potentially lead circuit breakers to trip creating a false …

The fault prediction and abductive fault diagnosis of three‐phase induction motors are of
great importance for improving their working safety, reliability, and economy; however, it is …

As a member of the third generation of artificial neural network models, spiking neural P
systems (SN P systems) have gained a hot research spot in recent years. This work …

Tissue P systems with channel states are non-deterministic bio-inspired computing devices
that evolve by the interchange of objects among regions, determined by the existence of …

Abstract Spiking Neural P (SN P) systems are membrane computing systems that are
abstracted from the behavior of spiking neurons, or brain cells. These systems take …

Spiking neural P systems (SN P systems) are a class of distributed and parallel computation
models, which are inspired by the way in which neurons process information by means of …

Monodirectional tissue P systems with promoters are natural inspired parallel computing
paradigms, where only symport rules are permitted, and with the restriction of …

This paper deals with cooperative multi-task traversing scheme for multiple unmanned
surface vehicles (USVs) under complex marine environments. Due to the dynamic …