This study explores integrating blockchain technology into the Internet of Medical Things
(IoMT) to address security and privacy challenges. Blockchain's transparency …

Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

As facial modification technology advances rapidly, it poses a challenge to methods used to
detect fake faces. The advent of deep learning and AI-based technologies has led to the …

The advancement of machine learning (ML) models has led to the development of ML-
based approaches to improve numerous software engineering tasks in software …

Purpose This research focuses on a very important research question of determining the
appropriate feature selection methods for software defect prediction. The study is centered …

Predicting software defects early in the development process not only enhances the quality
and reliability of the software but also decreases the cost of development. A wide range of …

Frailty is a geriatric syndrome that may result in poor health outcomes such as
hospitalization, disability, psychological distress, and reduced life satisfaction, and it is also …

The software's quality can be ensured through software testing, which is one of the critical
methods. However, it was found that testing consumes more than half of the project's total …

LNG plants are increasingly utilizing machine learning and predictive maintenance to
enhance efficiency, safety, and cost-effectiveness. By integrating advanced sensors and …

Machine learning classifiers consist of a set of parameters. The efficiency of these classifiers
in the context of software defect prediction is greatly impacted by the parameters chosen to …