How machine learning helps MEMS actuators move in perfect lines

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...
IEEE

Software Bug Prediction using Machine Learning on JM1 Dataset

Abstract: Ensuring the quality of software systems is essential for effective and efficient usage in complex software development procedures. A vital component of the whole procedure is the early ...
IEEE

Hybrid Machine Learning Approaches for Software Fault Prediction: A Systematic Review of Current Practices and Future Prospects

Abstract: Software fault prediction (SFP) is a critical aspect of software engineering aimed at improving software reliability and reducing maintenance costs. Hybrid machine learning approaches, which ...