Automatic Fault Detection for Selective Laser Melting Using Semi-Supervised Machine Learning

The team behind the “Towards additive manufacturing process control using semi-supervised learning” feasibility study have just released a pre-print of the outcomes of their project. Click on the following link to read the paper "Automatic Fault Detection for Selective Laser Melting Using Semi-Supervised Machine Learning". https://www.preprints.org/manuscript/201809.0346/v1  

Machine Learning in Manufacturing Summer School

Venue: Warwick Manufacturing Group, University of Warwick, Coventry. Date: Tuesday, 12th September lunch time – Friday, 15th September lunch time. Organisers: Professor Darek Ceglarek, University of Warwick and Dr Rajesh Ransing, Swansea University. Sponsors: The summer school is funded by Connected Everything and kindly sponsored by the Natural Computing Applications Forum (NCAF) and the Neural Computing … Continue reading Machine Learning in Manufacturing Summer School