Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm
motivated by intelligent collective behavior of some animals such as flocks of birds or …

Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …

Computer vision (CV) is a big and important field in artificial intelligence covering a wide
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …

With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …

Human recognition systems based on biometrics are much in demand due to increasing
concerns of security and privacy. The human ear is unique and useful for recognition. It …

The echo state network (ESN) is a novel and powerful method for the temporal processing of
recurrent neural networks. It has tremendous potential for solving a variety of problems …

Ear detection is an important step in ear recognition approaches. Most existing ear detection
techniques are based on manually designing features or shallow learning algorithms …

This paper presents a new Multi-criteria Decision-Making (MCDM) method with Fermatean
fuzzy sets (FFSs). The proposed method uses the entropy theory to determine the weights of …

Object detection and segmentation represents the basis for many tasks in computer and
machine vision. In biometric recognition systems the detection of the region‐of‐interest (ROI) …

Swarm Intelligence is applied to optimisation problems due to its robustness, scalability,
generality, and flexibility. Based on simple rules, simple reactive agents-swarm (eg fish, bird …