Recently, using automatic configuration tuning to improve the performance of modern
database management systems (DBMSs) has attracted increasing interest from the …

Sensorless control theory is considered as one of the most important keys to reduce the cost
of manufacturing and maintenance in automotive applications. This article presents a current …

Soil salinization endangers the development of ecological agriculture. As soil salinization is
often heavily affected by regional environments, difficulties arise when constructing an …

Commonly, an algorithm needs a certain number of variables that control its behavior. The
optimal values result in a better performance that could generate profits for companies …

Phishing is a type of social engineering attack that can affect any company or anyone. This
paper explores the effect that different features and optimisation techniques have on the …

The spatial prediction of soil CO2 flux is of great significance for assessing regional climate
change and high-quality agricultural development. Using a single satellite to predict soil …

Software defect prediction is necessary for desktop and mobile applications. Random Forest
defect prediction performance can be significantly increased with the parameter optimization …

Intelligent surveillance systems in human-centered environments require people behavioral
monitoring. In this paper, we propose a new Bayesian framework to recognize actions on …

Calibration is a crucial step for model validity, yet its representation is often disregarded.
This paper proposes a two-stage approach to calibrate a model that represents target data …

In our ongoing research we focus on detection of firearms and knives in video stream from
Closed Circuit Video Television. During this research we came across a multiple-objective …