The main objective of this paper is to further improve the current time-series prediction
(forecasting) algorithms based on hybrids between machine learning and nature-inspired …

Cloud computing represents relatively new paradigm of utilizing remote computing
resources and is becoming increasingly important and popular technology, that supports on …

We have recently witnessed the rapid development of several emerging technologies,
including the internet of things, which lead to a high interest in wireless sensor networks …

Artificial bee colony (ABC) algorithm inspired by the foraging behaviour of the honey bees is
one of the most popular swarm intelligence based optimization techniques. Quick artificial …

Wireless sensor networks have entered a period of a rapid development, due to several
novel technologies which have emerged in the past few years, such as Internet of Things …

Artificial neural networks are one of the most commonly used methods in machine learning.
Performance of network highly depends on the learning method. Traditional learning …

Naturally inspired evolutionary algorithms prove effectiveness when used for solving feature
selection and classification problems. Artificial Bee Colony (ABC) is a relatively new swarm …

Computer vision is one of the most frontier technologies in computer science. It is used to
build artificial systems to extract valuable information from images and has a broad range of …

The cloud computing paradigm, as a novel computing resources delivery platform, has
significantly impacted society with the concept of on-demand resource utilization through …

Wireless sensor networks, as an emerging paradigm of networking and computing, have
applications in diverse fields such as medicine, military, environmental control, climate …