Abstract An Intrusion Detection System (IDS) is one of the fundamental building blocks in
securing a network. A huge number of techniques have been proposed and implemented to …

Nowadays, the use of metaheuristic algorithms has dramatically increased in order to
achieve the optimal solution in solving continuous optimization problems. In this paper, a …

Data mining is one of the most explored and ongoing areas of research. Sentiment analysis
is a popular application of data mining, where the information regarding the customer's …

Bat algorithm (BA) is a recent optimization algorithm based on swarm intelligence and
inspiration from the echolocation behavior of bats. One of the issues in the standard bat …

In the competitive power industry environment, electricity price forecasting is a fundamental
task when market participants decide upon bidding strategies. This has led researchers in …

One of the most important concerns in the planning and operation of an electric power
generation system is the effective scheduling of all power generation facilities to meet …

We developed a simulation methodology on the basis of machine learning techniques for
simulation of pharmaceutical solubility in a supercritical solvent, ie, CO 2 with the …

To ameliorate agricultural impacts due to persistent drought-risks by promoting sustainable
utilization and pre-planning of water resources, accurate rainfall forecasting models …

The medical practitioners study the electrical activity of the human heart in order to detect
heart diseases from the electrocardiogram (ECG) of the heart patients. A myocardial …

The localization problem of nodes in wireless sensor networks is often the focus of many
researches. This paper proposes an opposition-based learning and parallel strategies …