The present research develops the parametric estimation of a second-order transfer function
in its standard form, employing metaheuristic algorithms. For the estimation, the step …

As hydroenergetic losses are inherent to water supply systems, they are a frequent issue
which water utilities deal with every day. The control of network pressure is essential to …

Expert systems are a form of highly understandable artificial intelligence that allow humans
to trace the decision-making processes that are used. While they are typically software …

Prior work has introduced a form of explainable artificial intelligence that is able to precisely
explain, in a human-understandable form, why it makes decisions. It is also able to learn to …

The smart energy consumption of any household, maintaining the thermal comfort level of
the occupant, is of great interest. Sensors and Internet-of-Things (IoT)-based intelligent …

Low-concentration coalbed methane (methane volume fraction is less than 30%) is a clean
fuel associated with coal, which is easy to cause explosions in coal mining, and the exhaust …

In the present work, a neuronal dynamic response prediction system is shown to estimate
the response of multiple systems remotely without sensors. For this, a set of Neural Networks …

Uncertainties exist in control fields which have a significant impact both on system
performance and control cost. A fuzzy approach is applied to describe uncertainties of a …

Mobile applications today serve as versatile tools across diverse sectors, enhancing human
productivity through specialized software on electronic devices. Implementation of the …

With the continuous development of intelligent teaching, ethnic music teaching in colleges
and universities began to try to use the online and offline teaching mode. However, with the …