Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …

The primary goal of pattern recognition is supervised or unsupervised classification. Among
the various frameworks in which pattern recognition has been traditionally formulated, the …

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 …

Smart wearable devices have recently become one of the major technological trends and
been widely adopted by the general public. Wireless earphones, in particular, have seen a …

In this paper a new optimization method for modular neural network (MNN) design using
granular computing and a firefly algorithm is proposed. This method is tested with human …

A grey wolf optimizer for modular neural network (MNN) with a granular approach is
proposed. The proposed method performs optimal granulation of data and design of …

A new method for Modular Neural Network optimization based on a Multi-objective
Hierarchical Genetic Algorithm is proposed in this paper. The modular neural network using …

In this paper dynamic parameter adjustment in particle swarm optimization (PSO) for
modular neural network (MNN) design using granular computing and fuzzy logic (FL) is …

In this paper, the latest global COVID-19 pandemic prediction is addressed. Each country
worldwide has faced this pandemic differently, reflected in its statistical number of confirmed …

The discriminative ability of geometric features can be well supported by empirical studies in
ear recognition. Recently, a number of methods have been suggested for geometric feature …