Sener – SHM, Structural Behaviour Analysis and Forecasting for Bridges and Viaducts

Sener – SHM, Structural Behaviour Analysis and Forecasting for Bridges and Viaducts Sener  Sector: Mobility Business Case SHM is a platform with a structural health monitoring system for viaducts located on a high-speed rail network. In addition, the system performs forecasts of the maintenance needs of the viaducts. Objetivos Minimise maintenance costs by eliminating the […]

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EJIE – Productivisation of AI-Based Language Tools

EJIE – Productivisation of AI-Based Language Tools EJIE  Sector: Services Business Case How to run translation, transcription and synthesis models in service mode on day 1. Objetivos Technical: service scaling based on needs and autorecovery. Functional: When the translation can be improved, how do we detect and correct it? Use case The models were deployed

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Iberdrola – Environmental Asset Management

Iberdrola – Environmental Asset Management Iberdrola  Sector: Energy Business Case In December 2022, Iberdrola launched its Biodiversity Plan, which aims to achieve a net positive impact on the ecosystems and species where it operates by 2030. The fundamental pillars are regeneration and creation of natural value, conservation of natural heritage, and creation of social value.

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Skootik – Academic assistant for early detection of school drop-out

Skootik – Academic assistant for early detection of school drop-out Skootik  Sector: Academic activities Business Case Today, all universities have a platform for teaching support. This platform allows communication with students and sharing of content such as assignments, homework and tests. In addition, it allows each student’s grades to be tracked, and monitoring of both

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CAF – Inspection of vehicles in operation from infrastructure

CAF – Inspection of vehicles in operation from infrastructure CAF  Sector: Railway Business Case The control of the condition of some suspension parameters and rail rolling stock requires periodic reviews at a significant labour cost. Sensorising all trains is not a viable cost/return solution. A solution is proposed in which the sensorised track in a

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Seidor – ARIM – Autonomous Robotic Sea-Floor Infrastructure

Seidor – ARIM – Autonomous Robotic Sea-Floor Infrastructure Seidor  Sector: Industry Business Case Within the scope of a European project, Deusto SEIDOR is responsible for developing artificial vision software to detect, classify, and automatically count benthopelagic species (those living near the bottom) from images captured by aquatic observatories (LoVe Observatory), and autonomous aquatic robots (crawlers).

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FAGOR Arrasate – Anomaly Detection in Servo Drives

FAGOR Arrasate – Anomaly Detection in Servo Drives FAGOR Arrasate  Sector: Industry Business Case At times, the drives in our automation systems deteriorate due to factors like wear, loosening, or changing working conditions. The objective of this project is to establish proper operational cycles based on performance data and identify any unusual cycles. Objectives Identify

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Ceit – Decision-making support tool for CHP plants

Ceit – Decision-making support tool for CHP plants Ceit  Sector: Energy Business Case Software tool that recommends, based on electricity price and thermal demand predictions, when to start the cogeneration engines in order to maximise the profit from the sale of electricity.  Objectives Create a visual analytics tool that provides cogeneration plant operating personnel with

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Ceit – DARROW – Artificial Intelligence in Wastewater Treatment Plants

Ceit – DARROW – Artificial Intelligence in Wastewater Treatment Plants Ceit  Sector: Industry Business Case The use case consists of a real wastewater treatment plant located in the Netherlands. This facility is one of the largest in the country. The project will be used as a pilot case for testing artificial intelligence tools. Objectives The

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Data Value Management – Mushroom Production Optimisation

Data Value Management – Mushroom Production Optimisation Data Value Management  Sector: Agriculture Business Case The development of a platform that uses machine learning models to identify key variables in mushroom production, providing real-time recommendations based on production status and predicting daily harvesting, optimising logistics and staffing. Objectives Identify the variables that most affected each stage

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