Purpose This paper conducts an extensive literature review to examine the applications of
Brain-Computer Interface (BCI) technology in rehabilitation and medical diagnostics. The …

Current thermal monitoring methods used in metal powder bed fusion (PBF) additive
manufacturing (AM) rely on a priori knowledge of the emissivity, which is usually assumed …

The utilization of metal Additive Manufacturing (AM) has led to substantial progress in the
manufacturing process of metal components. Evaluating the influence of the wide variety of …

In-situ co-axial meltpool monitoring has become a popular tool for digitising the laser
powder bed fusion (L-PBF) process, providing baseline data for certification. Each layer …

In-situ sensing, in conjunction with learning models, presents a unique opportunity to
address persistent defect issues in Additive Manufacturing (AM) processes. However, this …

While modern 5-axis computer numerical control (CNC) systems offer enhanced design
flexibility and reduced production time, the dimensional accuracy of the workpiece is …

Federated Learning (FL) is essential for efficient data exchange in Internet of Things (IoT)
environments, as it trains Machine Learning (ML) models locally and shares only model …

While hybrid additive manufacturing offers improved material properties, increased design
flexibility, and reduced production time, the presence of variation in the process (eg, torque …

Overheating anomaly detection is essential for the quality and reliability of parts produced by
laser powder bed fusion (LPBF) additive manufacturing (AM). In this research, we focus on …

High intricacy of the friction stir welding (FSW) process and severe plastic deformation
typically result in serious part quality concerns, including thinning, groove, and kissing bond …