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 […]
Tubacex – Reducing Electric Furnace Energy Consumption Tubacex Sector: Industry Business Case Develop a predictive model based on data collected from processes and PLCs over the past 5 years. This
Ceit – Automated disassembly system for recovery of critical materials Ceit Sector: Industry Business Case Robotic assembly tasks are well established in industry, but automated disassembly is not. There is
Gestamp – Artificial Intelligence for Image-Based Weld Defect Detection Gestamp Sector: Industry Business Case Project defined to develop an algorithm that, based on weld bead images available from existing weld
Ikerlan – MLOps for Distributed Training of Quality Control ML Models Ikerlan Sector: Industry Business Case Recently, the company has developed various artificial intelligence models for its core operations. However,
Mondragon Innovation | Humanity at work – Detection of Anomalies in Components of Repetitive Part Production Machine Tools Mondragon Innovation | Humanity at work Sector: Industry Business Case The LG400
Mondragon Innovation | Humanity at work – Detection of Cutting Tool Breakage in Machining from Vibration Signals with Artificial Intelligence Techniques Mondragon Innovation | Humanity at work Sector: Industry Business
Petronor – Promise, Improving Machine Reliability Petronor Sector: Industry Business Case Improvement of machine and process reliability through the application of models for defect diagnosis and prognosis. Objectives Increase device
Tekniker – Detection of hazardous elements in scrap yards Tekniker Sector: Industry Business Case Inspection of the scrap received is performed visually by scrap yard personnel, once deposited, which requires
Vicomtech – Optimising the Design of Large CV Joints Using AI Vicomtech Sector: Industry Business Case The design and implementation of software based on machine learning involve the analysis of
