Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …

Industrial Robots and Multi-axis Machines have become increasingly popular in recent
years, in a diverse range of industries. These complex and expensive machines are …

There is a growing demand for carbon fiber-reinforced plastics (CFRPs) in the aerospace
and automotive industries. Consequently, the assembly and repair of CFRP components …

Tool wear negatively affects machined surfaces and causes surface cracking, therefore
increasing manufacturing costs and degrading product quality. Titanium alloys, which are …

Grinding is one of the most widely employed machining processes in manufacturing.
Achieving a successful grinding process characterized by low fault rates and short cycle …

Abstract Estimating the Remaining Useful Life (RUL) of industrial machinery is an important
task in Prognostics and Health Management (PHM). Accurate RUL prediction based on …

Accurate tool wear prediction is an essential task in machining processes because it helps
to schedule efficient tool maintenance and maximise the tool's useful life, thus contributing to …

The authors of this work propose a novel semi-supervised learning framework for quality
prediction in manufacturing. Semi-supervised learning is a promising method in neural …

The industrial internet of things (IIoT) uses connected devices and sensors to improve
efficiency in industry, but increased reliance on these systems makes them prone to faults …

Injection molding is one of the polymer molding methods. Product quality mainly can be
affected by temperature and pressure. To observe the process of the melt forming in the …