Petronor – Soft Sensors
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 […]
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
Semantic Systems – Decision Support System Decision in Industrial Product Configuration Semantic Systems Sector: Industry Business Case Knowledge-based configuration, high qualification of personnel in the definition of the model and
Skootik – Analysis and prediction of pedestrian flow in a city Skootik Sector: ICT Business Case A given city has several sensors that quantify the number of people passing along
Tecnalia – OSARGI: Operation and Maintenance through Predictive Models for HOSPITAL COMPLEXES Tecnalia Sector: Construction Business Case Hospital management systems employ reactive control strategies that lack the flexibility to adjust
Tekniker – Title – PRENERGET – ENERGY PREDICTION FRAMEWORK Tekniker Sector: Energy Business Case For the optimisation of the energy management of facilities of all types, it is very important
Ariadna Grid – ARIADNA Connectivity Algorithm: Automatic Detection of LV Grid Topology Ariadna Grid Sector: Energy Business Case How can the low voltage (LV) grid topology be calculated using an
Aratubo – Energy Efficiency and Processes Aratubo Sector: Industry Business Case Predict the energy consumption of the six different production lines associated with each manufacturing family. The problem is that