Prediction – Page 3

LKS Next – Deep Learning Systems for Actionable Healthcare Knowledge Generation

LKS Next – Deep Learning Systems for Actionable Healthcare Knowledge Generation LKS Next Sector: Health Business Case Healthcare organisations are increasingly interested in the application of artificial intelligence (AI) to improve healthcare, reduce costs and improve the efficiency of healthcare services. Two of the cases in which this technological transition is to be applied are […]

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Mondragon Innovation | Humanity at work – Prediction of Polymer Creep Moduli using Machine Learning

Prediction / Iñaki Suarez

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 over time when subjected to a constant load, a phenomenon known as creep. Tests to measure this phenomenon are very time-consuming and expensive, meaning the

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Mondragon Innovation | Humanity at work – Prediction of Home Delivery Activity (Last Mile Logistics)

Prediction / Iñaki Suarez

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 to be delivered to customers’ homes is not homogeneous and fluctuates due to internal and external variables. Tailoring the sizing to the unique requirements of

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Multiverse Computing – Hospital Clinic: q-VIGILANCE

Prediction / Iñaki Suarez

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 machine learning algorithm to overcome the limitations of the NEWS 2 model. This approach aims to provide faster and more accurate responses at Hospital Clinic

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Petronor – Soft Sensors

Prediction / Iñaki Suarez

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 of intermediate and final products to: 1) optimise production and 2) minimise consumption associated with rework or corrective actions with little time margin. Use case

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SEIDOR – Deep Brain

Prediction / Iñaki Suarez

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 create tools to support clinicians in the diagnosis, treatment and prognosis of brain diseases in which medical imaging is a criterion of great importance for

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SEIDOR – CATALYS: Glaucoma Artificial Intelligence System for Clinical Assistance

Prediction / Iñaki Suarez

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 the patient’s development. It was from this situation that the program Teleglaucoma, designed to monitor patients with different types of glaucoma, was conceived at the

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Semantic Systems – Decision Support System Decision in Industrial Product Configuration

Prediction / Iñaki Suarez

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 constraints governing the product configuration is required. The more complex the product, the longer the implementation time and the higher the learning cost for the

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Skootik – Analysis and prediction of pedestrian flow in a city

Prediction / Iñaki Suarez

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 certain streets every 15 minutes. These sensors are distributed in several neighbourhoods both in the centre and on the periphery. The aim is to estimate

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Tecnalia – OSARGI: Operation and Maintenance through Predictive Models for HOSPITAL COMPLEXES

Prediction / Iñaki Suarez

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 to changing boundary conditions (usage, weather, etc.) and allow for optimal system operation. Preventive maintenance strategies, on the other hand, provide suitable levels of equipment

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