Artificial intelligence (AI) has witnessed an exponential increase in use in various
applications. Recently, the academic community started to research and inject new AI-based …

Presently, the Vehicular Ad-hoc Network (VANET) is very important for the entire traffic
management system. The 5th Generation (5G) enables VANET and Intelligent …

Software Fault Forecasting (SFF) pertains to timely identifying sections in software projects
that are prone to faults and may result in significant development expenses. Deep learning …

With the widespread use of the Global Positioning System (GPS) in the fields such as traffic
monitoring, sports navigation, and track recording, the trajectory data recording users' spatial …

Machine vision systems use industrial cameras' digital sensors to collect images and use
computers for image pre-processing, analysis, and the measurements of various features to …

Software defect prediction (SDP) is used to identify defects in software modules that can be
a challenge in software development. This research focuses on the problems that occur in …

This paper examines an efficient Machine Learning (ML) strategy for software defect
detection, focusing on identifying defective and non-defective software files and …

In software defect prediction, noisy attributes and high-dimensional data remain to be a
critical challenge. This paper introduces a novel approach known as multi correlation-based …

Software defect prediction (SDP) models aid software testing teams in forecasting faulty
artifacts prior to actual testing. Software Development Process (SDP) models aim to …

Abstract In Australia, approximately 66.00% of projects exceeded the programmed budget
and 33% were out of time, all of them due to software failures. The purpose of this study is to …