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 […]
Grupo Lanit – Customer churn prediction Grupo Lanit Sector: Mobility Business Case The company needs to anticipate behaviours likely to be abandoned by its customers. Objectives Anticipate the risk of
Versia – Graph Analysis for Reverse Logistics Optimisation and Shrink Detection. Versia Sector: Logistics Business Case This “Network Analysis” algorithm predicts activity levels at various packaging return and production centres,
Vicomtech – Predictive AI Models for Heart Failure: Readmission and Decompensation Prediction Vicomtech Sector: Health Business Case Heart failure is a chronic disease responsible for a significant number of hospital
Mondragon Innovation | Humanity at work – Prediction of Polymer Creep Moduli using Machine Learning Mondragon Innovation | Humanity at work Sector: Industry Business Case Polymers gradually lose their stiffness
Mondragon Innovation | Humanity at work – Prediction of Home Delivery Activity (Last Mile Logistics) Mondragon Innovation | Humanity at work Sector: Commercial sector Business Case The number of orders
Multiverse Computing – Hospital Clinic: q-VIGILANCE Multiverse Computing Sector: Energy Business Case The q-Vigilance project addresses the need to improve the prediction of symptom severity in patients using a quantum
Petronor – Soft Sensors Petronor Sector: Energy Business Case Determining process stream properties, such as pentanes in LPG streams or naphtha vapour pressure. Objectives Obtaining real-time values of the quality
SEIDOR – Deep Brain SEIDOR Sector: Health Business Case Automatic brain anatomical substructure segmentation tools and holographic visualisation for diagnostic aid and decision support. Objectives The main objective is to
SEIDOR – CATALYS: Glaucoma Artificial Intelligence System for Clinical Assistance SEIDOR Sector: Health Business Case Glaucoma is one of the predominant pathologies in ophthalmology, whose monitoring is necessary to follow
