December 2020

LifeChamps: A Collective Intelligent Platform to Support Cancer Champions

LifeChamps

Geriatric oncology, concerned with the diagnosis and treatment of cancer in the elderly, is an important subtopic. Improving outcomes hinges on many different factors, including the quality of services received. The EU-funded LifeChamps project aims to provide support to middle aged and older (pre-frail and frail) cancer patients. It has developed a big data-driven solution […]

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TTLS

TTLS

Project’s description Greek Αντικείμενο της παρούσας πρότασης, είναι η διερεύνηση και δημιουργία ενός πρωτοποριακού συστήματος – πλατφόρμας (Hardware) για καταγραφή τιμών, ποιοτικών και ποσοτικών μετρήσεων που θα εγκατασταθεί σε στόλους οχημάτων μαζικής μεταφοράς τουριστών και θα δώσει στις εταιρίες τη δυνατότητα να βρούν τις οικονομικότερες, ασφαλέστερες και επικερδείς διαδρομές τουριστικού ενδιαφέροντας διασφαλίζοντας την ποιότητα και

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RAIS:Real-time Analytics for Internet of Sports (Η2020)

RAIS

RAIS aspires to provide for 14 Early Stage Researchers (PhD students) a world-class training within a broad spectrum of subjects establishing a fertile inter-disciplinary research and innovation community that will advance: Wearable Technology: Wearable Sports Sensing and Quantified-self Devices and Accompanying Middleware memory Block-chain Powered IoT: Decentralized Block-chain Powered IoT Platforms (generating hundreds of billions

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CUREX: seCUre and pRivate hEalth data eXchange (Η2020)

CUREX

CUREX is motivated by the current vulnerability of health sector’s infrastructures to threats related to privacy and cybersecurity. The main goal is to produce a novel, flexible and scalable situational awareness-oriented platform that can address comprehensively the protection of the confidentiality and integrity of health data focusing on health data exchange cases. CUREX is fully

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DataflowOpt

DataflowOpt

The overarching aim of DataflowOpt is to capitalize on significant preliminary results in the area of dataflow optimization by the investigators and reshape the way dataflow optimization is approached addressing the significant limitations, state-of-the-art solutions suffer from. The broader technical goal is to make cost-based automated dataflow optimization functionality available to designers with a view

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Sboing4Real

Sboing4Real

Sboing4real targets the development of crowdsourcing technologies for geo-social networking and advanced satellite navigation in real-time.Recognizing the enormous potential that crowdsourcing can offer in modern navigation systems, the Sboing4real project aims to develop innovative technologies for the geo-sensitive social networking of people who use navigation devices and for the exchange of additional real-time navigation information

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PTwist: An open platform for plastic lifecycle awareness, monetization, and sustainable innovation (Η2020)

PTwist

PTwist aims to design, deploy, and validate an open platform which will twist plastic reuse practices, by boosting citizens awareness, circular economy practices, and sustainable innovation inline with the new plastics economy vision. To achieve its goals PTwist is offering: a) crowdsourcing tools to enable generation of an evolving plastic materials reuse taxonomy and an

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Online S3 (Η2020)

Online S3

ONLINE-S3 will develop an e-policy platform, augmented with a toolbox of applications and online services, able to assist national and regional authorities in the EU to elaborate their smart specialization agenda. In other words, the project will investigate, develop and test new and innovative technologies, tools and services which are in line with the methodological

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ENCASE: ENhancing seCurity and privAcy in the Social wEb (Η2020)

ENCASE

ENCASE will leverage the latest advances in usable security and privacy to design and implement a browser-based architecture for the protection of minors from malicious actors in online social networks. The overall vision of the project is to provide research and innovation contributions to end-user experience assessment, large scale data processing, machine learning and data

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cHiPSet: High-performance modelling and simulation for big data applications

cHiPSet

The Big Data era poses a critically difficult challenge and striking development opportunities in High-Performance Computing (HPC): how to efficiently turn massively large data into valuable information and meaningful knowledge. Computationally effective HPC is required in a rapidly-increasing number of data-intensive domains, such as Life and Physical Sciences, and Socioeconomic Systems. Modelling and Simulation (MS)

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