Voltage instability is a major challenge facing power system (PS) that has affected some
organizations in achieving their desired goals. Therefore, voltage instability is the …

There are several types of neural networks (NNs) that are widely used for data classification
tasks. The supervised learning NN is an advanced network with a training algorithm for …

Deep artificial neural networks have been popular for time series forecasting literature in
recent years. The recurrent neural networks present more suitable architectures for …

Artificial Neural Networks (ANNs) are becoming increasingly useful in numerous areas as
they have a myriad of applications. Prior to using ANNs, the network structure needs to be …

A novel adaptive algorithm of particle swarm optimization is proposed in this paper, where
the learning strategy is designed by simulating features of human social learning …

The recent rapid growth of the Internet content has led to building recommendation systems
that guide users to their needs through an information retrieving process. An expert …

Over the years, intrusion detection system has played a crucial role in network security by
discovering attacks from network traffics and generating an alarm signal to be sent to the …

The high level of air pollution in urban areas, caused in no small extent by road transport,
requires the implementation of continuous and accurate monitoring techniques if emissions …

Much has been said about the fusion of bio-inspired optimization algorithms and Deep
Learning models for several purposes: from the discovery of network topologies and …

Social media traffic constitutes the highest percentage of Internet traffic. Such traffic is largely
facilitated by mobile devices, which imposes a huge traffic load on backhaul links in 5G …