Extreme learning machine (ELM) has gained increasing interest from various research fields
recently. In this review, we aim to report the current state of the theoretical research and …

Feedforward neural networks (FFNN) have been utilised for various research in machine
learning and they have gained a significantly wide acceptance. However, it was recently …

This research work aims to propose an effective and robust face kinship verification system
by leveraging several axes, including advanced learning techniques, deep learning, and …

The extreme learning machine (ELM), which was originally proposed for “generalized”
single-hidden layer feedforward neural networks, provides efficient unified learning …

The shifting of image mean brightness and the domination of high-frequency bins during
histogram equalization (HE) often result in the deteriorating quality of enhanced images and …

Nowadays Network function virtualization (NFV) has drawn immense attention from many
cloud providers because of its benefits. NFV enables networks to virtualize node functions …

Heart is one of the important as well as hardest working organ of human body. Cardiac
ischemia is the condition where sufficient blood and oxygen will not reach the heart muscle …

Majority of the learning algorithms used for the training of feedforward neural networks
(FNNs), such as backpropagation (BP), conjugate gradient method, etc. rely on the …

Face is one of the most widely used biometric in security systems. Despite its wide usage,
face recognition is not a fully solved problem due to the challenges associated with varying …

As demonstrated earlier, the learning effectiveness and learning speed of single-hidden-
layer feedforward neural networks are in general far slower than required, which has been a …