In this research, Artificial Neural Networks (ANNs) have been used as a powerful tool to solve the inverse kinematic equations of a parallel robot. For this purpose, we have developed the kinematic equations of a Tricept parallel kinematic mechanism with two rotational and one translational degrees of freedom (DoF). Using the analytical method, the inverse kinematic equations are solved for spe...

In recent decades, machine learning has provided valuable models and algorithms for processing extracting knowledge from time-series surveys. Different classifiers have been proposed performed to an excellent standard. Nevertheless, few papers tackled the data shift problem in labeled training sets, which occurs when there is a mismatch between distribution set testing set. This drawback can da...

Distributed denial of service (DDoS) attacks pose an increasing threat to businesses and government agencies. They harm internet businesses, limit access information services, damage corporate brands. Attackers use application layer DDoS that are not easily detectable because impersonating authentic users. In this study, we address novel by analyzing the characteristics incoming packets, includ...