<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/D3BA5183-ACEC-4398-9AF3-F0A9718EACD8" ns1:id="D3BA5183-ACEC-4398-9AF3-F0A9718EACD8"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/16D48ECD-59B6-42D6-AABF-09E9EB60FF97" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/70AE0F48-4EC4-44C8-919D-FDB482F813AF" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/9D2EB31E-E965-49ED-A49A-E95FFD22D861" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/70AE0F48-4EC4-44C8-919D-FDB482F813AF" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/AB011D73-4B6E-469F-9D21-D69656BF6E37" ns1:rel="FUND" ns1:start="2024-08-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10121438</ns2:identifier></ns2:identifiers><ns2:title>Digitally Observed Mechanical Engineering II (DOME2)</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>This project seeks to use artificial intelligence and statistical analysis to develop a tool that can be rapidly deployed, alongside Smart Factory instrumentation, to identify and resolve issues in manufacturing lines.</ns2:abstractText></ns2:project>