This paper presents a new data mining technique for an accurate prediction of breast cancer
(BC), which is one of the major mortality causes among women around the globe. The main …

Predicting student dropout is a challenging problem in the education sector. This is due to
an imbalance in student dropout data, mainly because the number of registered students is …

Brushes are critical components in power generation equipment. The interruptions in brush
operation because they have failed in their service can cause financial losses avoidable by …

This research article presents a comprehensive study on the performance modeling of 3D
printed parts using Artificial Neural Networks (ANNs). The aim of this study is to optimize the …

Diabetes is a chronic health condition that impairs the body's ability to convert food to
energy, recognized by persistently high levels of blood glucose. Undiagnosed diabetes can …

This study investigates monthly streamflow modeling at Kale and Durucasu stations in the
Black Sea Region of Turkey using remote sensing data. The analysis incorporates key …

The speed and tension control problem of a web handling system is investigated in this
paper. From the system equations of motion, we developed a backstepping-sliding mode …

Predicting student dropout is a challenging problem in the education sector. This is due to
an imbalance in student dropout data, mainly because the number of registered students is …

In this paper, a ternary neural network with complementary binary arrays is proposed for
representing the signed synaptic weights. The proposed ternary neural network is deployed …

Abstract Machine learning models are considered to be high-potential tools for predicting
problems involving multiple attributes operating on historical data. Predictive models find …