Projects

Sense

AIpALS

AIpALS aims to advance precision medicine and improve supportive care in Amyotrophic Lateral Sclerosis (ALS) by proposing advanced machine learning models using patient profiles and disease progression patterns for prognostic prediction in ALS.

 

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AUGMANITY

The project is expected to leverage its results in multiple sectors, through a coordinated strategy between industrial partners and research centres, with the generated knowledge being exploited by means of technology creation, dissemination, transfer utilization and incorporation activities based on three pillars: science and technological development; internalization of knowledge and technology by technology-takers; and utilization of knowledge and technology by potential end users.

 

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City Catalyst

The mobilizing project aims to investigate and develop new products, processes and services with high potential, contributing to an integrated urban management, efficient and innovation-catalyzing, based on specific contributions to the implementation and interoperability of urban platforms.

 

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HomeSenseALS

HomeSenseALS aims to build a framework for monitoring Amyotrophic Lateral Sclerosis patients in their home environment using wearable technologies, allowing a closer look at different disease progression patterns regarding mobility, respiratory measurements, and functional assessment. This will support both caregivers and clinicians in adjusting medication and appointments or creating better models for patient stratification, essential for clinical trials.

 

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ICANs

This project aims to construct a single flexible and intelligent analytics platform running on a cloud environment with real-time performance. This framework will encompass predictive and autonomous capabilities to support telco service quality and enhance user experience using data from the usage and service quality from NOS devices and internal infrastructure.

 

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IoTiP

IoTip (Internet of things in Package) is a development platform that stimulates the creation of new IoT solutions, to enable former low-tech industries, such as footwear or textile industries, to embed technology in their solutions yielding a differentiated product.

 

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LoRa4UProbes

The project Long Range Communication for Undergroung Sensing Probes (LoRa4UProbes) aims to contribute to a sustainable use of water by developing a new soil monitoring solution aligned with the Internet of Things (IoT) concept, and that can be easily integrated in different precision farming use cases. LoRa4UProbes stands out in the market of soil monitoring for agricultural areas and public spaces, by presenting itself as a solution with extended range communication capability, able to operate underground, and modular to support different sensing modules.

 

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NewGen TS-FAE

The NewGen TS-FAE project will develop the first test systems for automotive electronics with cognitive intelligence and the capability to adapt its own operation by automatically modifying, for example, type and number of tests, considering product characteristics and past results.

 

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OPERATOR

OPERATOR proposes a set of tools for risk exposure data analysis in the workplace, building on the concepts of Positive Ergonomics, Operator 4.0 and on the Job Quality Indices by the Eurofound. The project aims at developing a technology framework which combines ubiquitous human movement tracking with worker self-reported endpoints for a holistic Digital Twin representation of shop floors. The framework will collect and analyse data regarding workers’ activity and wellbeing on different levels. 

 

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PANDLETS

Pandlets are a novel architecture of embedded electronics for wireless devices that can be used to develop Wearable and IoT solutions. This architecture has been used in several internal and external projects that range from home appliance control, indoor farming to fall detection and activity monitoring, and it is designed for a seamless integration with mobile platforms, as a foundational design for new IoT devices.

 

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WGW4IoT

Wireless Gateway for the Internet of Things (WGW4IoT) is targeted for industrial environments, being a valuable asset to efficiently monitor, manage, and control industry processes, thus leading to high operational efficiency and reduced costs.

 

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