ITP Aero – Improving the Broaching Process Using ML ITP Aero Sector: Industry Business Case It seeks to improve both the capacity (variability reduction) and quality of broached products at […]
Lantek – Forescrap: Prediction Service for Scrap Generated in Sheet Metal Cutting Processes Lantek Sector: Industry Business Case In metal part manufacturing processes involving cutting, the generation of scrap or
Ayesa – Cardiac risk prediction Ayesa Sector: Health Business Case Improve the triage of patients with non-traumatic pain in the A&E department (ischemic heart disease) to reduce the number of
LIS Data Solutions – Demand forecasting and suggestion for procurement LIS Data Solutions Sector: Generalist Business Case Warehouse inventory management based on sales forecasting. Once the forecast is done, knowing
BCAM – Probabilistic Predictions for Energy Management Based on Continuous Learning BCAM Sector: Energy Business Case Obtaining accurate energy demand predictions is difficult due to the continuous changes in consumption
LKS Next – Deep Learning Systems for Actionable Healthcare Knowledge Generation LKS Next Sector: Health Business Case Healthcare organisations are increasingly interested in the application of artificial intelligence (AI) to
CAF – Passenger Counter Based on Computer Vision CAF Sector: Mobility Business Case We propose to develop a passenger counter based on computer vision. There is currently one infrared sensor
Cardiva – Demand Forecasting and Logistics Optimisation Cardiva Sector: Health Business Case Cardiva is a company in the healthcare sector. Among other products, it manufactures single-use packs for operating rooms.
Ceit – MIRAGED: Strategic positioning in virtual models and digital twins for industry 4.0 Ceit Sector: Manufacturing Business Case Digital twins to optimise the operation of industrial manufacturing processes Objectives
Data Value Management – Prediction and Reduction of Micro-Stops Data Value Management Sector: Industry Business Case The challenge is to develop a system capable of detecting the primary causes that
