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
Top 50 Women in Engineering
Congratulations to two active network members - Dr Fiona Charnley (Cranfield University) and Dr Kate Black (University of Liverpool) - for recently being named amongst the Top 50 Women in Engineering (WE50). The WE50 campaign aims to raise awareness of the skills shortage facing the industry and the huge discrepancy between the number of men … Continue reading Top 50 Women in Engineering
Feasibility Studies – call for proposals
We are pleased to announce that our second funding call for feasibility studies is now open. Full details of the call. The requisite proposal and budget forms as well as an FAQ document can be accessed via: https://connectedeverything.ac.uk/activities/feasibility-studies/second-call-for-proposals/ Details of the virtual Q&A session will be publicised shortly.
Feasibility studies
The research teams for the six successful feasibility studies in the first funding call will be presenting their projects at the 2017 Network Plus conference on Tuesday 20 June, at the University of Glasgow. Short videos outlining each of the studies can be accessed via: Feasibility studies
connectedeverything.ac.uk 