Software fault prediction aims to identify fault-prone software modules by using some
underlying properties of the software project before the actual testing process begins. It …

Abstract Context: Defect Number Prediction (DNP) models can offer more benefits than
classification-based defect prediction. Recently, many researchers proposed to employ …

In this study, we present our findings from investigating the use of a machine learning (ML)
technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 …

Software systems have become larger and more complex than ever. Such characteristics
make it very challengeable to prevent software defects. Therefore, automatically predicting …

Unmanned aerial vehicle (UAV) millimeter wave (mmWave) technologies can provide
flexible link and high data rate for future communication networks. By considering the new …

Awareness of uniaxial compressive strength (UCS) as a key rock formation parameter for the
design and development of gas and oil field plays. It plays an essential role in the selection …

An inset fed-microstrip patch antenna (MPA) with a partial ground structure is constructed
and evaluated in this paper. This article covers how to evaluate the performance of the …

An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …

In this study, the thermal conductivity of titania (TiO 2)–water nanofluid was predicted using
five separate machine learning algorithms with their unique hyperparameters and logical …

In this study, we have presented our findings on the deployment of a machine learning (ML)
technique to enhance the performance of LTE applications employing quasi-Yagi-Uda …