Prediction – Page 2

Data Value Management – Prediction and Reduction of Micro-Stops

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 provoke a large number of micro-stops in the different production lines of a company, in order to reduce their occurrence. Additionally, a secondary system is […]

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GHI Smart Furnaces – Automatic loading point in tilting rotary furnaces

Prediction / Iñaki Suarez

GHI Smart Furnaces – Automatic loading point in tilting rotary furnaces GHI Smart Furnaces Sector: Industry Business Case It is a GHI Smart Furnaces initiative aimed at optimising the charging process in rotary aluminium smelting furnaces by implementing advanced machine learning and automation technologies. One of the challenges related to the optimisation of productivity and

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HUPI – Energy Consumption Prediction and Behavioural Modelling of an Entity

Prediction / Iñaki Suarez

HUPI – Energy Consumption Prediction and Behavioural Modelling of an Entity HUPI Sector: Industry Business Case Automatic energy demand prediction for the next period of time (12 months?), with a precise level of granularity: it predicts the level of energy consumption that each specific customer or building will need in the next day/week/month. Objectives Estimate

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HUPI – INGURU PREDICT Evaluation and prediction of the impact of port activities on environmental indicators (turbidity, chlorophyll, hydrocarbons) based on satellite images.

Prediction / Iñaki Suarez

HUPI – INGURU PREDICT Evaluation and prediction of the impact of port activities on environmental indicators (turbidity, chlorophyll, hydrocarbons) based on satellite images. HUPI Sector: Mobility Business Case How can we assess the impact of port activities on the marine ecosystem dynamically and in real time, in order to reduce marine pollution, taking into account

HUPI – INGURU PREDICT Evaluation and prediction of the impact of port activities on environmental indicators (turbidity, chlorophyll, hydrocarbons) based on satellite images. Read More »

Ikerlan – Federated Models for Predicting the Evolution of ICU Patients

Prediction / Iñaki Suarez

Ikerlan – Federated Models for Predicting the Evolution of ICU Patients Ikerlan Sector: Health Business Case The company currently aims to deliver technological solutions for the healthcare sector, focusing on two main aspects: first, developing predictive models for assessing ICU patient outcomes (improvement, exitus, etc.); and second, implementing these models within a Federated Learning framework

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Inzu Group – Predictive Maintenance of Railway Diversion Elements (SMART DIVERTER)

Prediction / Iñaki Suarez

Inzu Group – Predictive Maintenance of Railway Diversion Elements (SMART DIVERTER) Inzu Group Sector: Mobility Business Case Railway diversions are crucial components of the infrastructure and are significantly impacted in their regular operation. Additionally, the construction material, manganese steel, while noble, tends to develop cracks in hidden areas and is resistant to traditional inspection methods,

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Inzu Group – Federated Artificial Intelligence for Predictive Maintenance on Bridges (FAI4CIM)

Prediction / Iñaki Suarez

Inzu Group – Federated Artificial Intelligence for Predictive Maintenance on Bridges (FAI4CIM) Inzu Group Sector: Industry Business Case Currently, there is no cost-effective method for automatically detecting structural issues in bridges (10% in Europe, 30% in the USA). Inspection (procedure for assessing the condition of an infrastructure in use) was based on subjective criteria. The

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ITP Aero – ML-Based Turning Process Capability Improvement

Prediction / Iñaki Suarez

ITP Aero – ML-Based Turning Process Capability Improvement ITP Aero Sector: Industry Business Case The goal is to enhance the capability indices of the turning process (Cp, Cpk) through the application of ML techniques. Models based on data from the process itself will be used to make the process self-adaptive. Objectives Improve process capability (reduction

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ITP Aero – Improving Melting Curves for Lost Wax Processes

Prediction / Iñaki Suarez

ITP Aero – Improving Melting Curves for Lost Wax Processes ITP Aero Sector: Industry Business Case The goal is to reduce defects in the final product by modifying the melting curves of the material ingots using data-driven models. Objectives Improve product quality. Use case Identify all parameters of the melting curves relevant to product quality.

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ITP Aero – Improving the Broaching Process Using ML

Prediction / Iñaki Suarez

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 ITP Aero through data-driven modelling. Objectives Process capability improvement (reduction of dimensional variability) and quality improvement (reduction of allowances) through the use of ML-based correctors

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