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

A Review on Quantum Machine Learning in Applied Systems and Engineering

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...
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 ...