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Acquire digiTal biomarkErs in infanCy witH sensorized TOYS for early detection and monitoring of neurodevelopmental disorders – TECH-TOYS
Neurodevelopmental disorders (NDDs) are a group of frequent (1/10 children) sensori-motor, cognitive, communication, learning, behavioural disorders of multifactorial aetiology, with onset early in life but lifelong consequences. Despite advances in our understanding of aetiology, diagnosis and star
Explainable Predictive Maintenance – XPM
The XPM project aims to integrate explanations into Artificial Intelligence (AI) solutions within the area of Predictive Maintenance (PM). Real-world applications of PM are increasingly complex, with intricate interactions of many components. AI solutions are a very popular technique in this domain,
BIOGLIDER : Autonomous Exploration and Monitoring of Marine Ecosystems – BIOGLIDER
Observing the oceans in coastal and deep offshore zones nowadays relies on coordinated deployments of multiple types of platforms equipped with multiple types of sensors. The ‘multiplatform’ approach is now recognized as the most relevant and cost-effective way to fully describe spatial and temporal
Propagation of hydrogen flames for safety applications – PHYSSA
One of the major issues facing our modern societies concerns both the reduction of our impact on the climate change and the reduction of our consumption of fossil fuels. One way to reach these goals is the use of hydrogen which is quite versatile and can be used in a large panel of applications such
Predicting and detecting anomalies in a moving crowd without interruption – OKLOS
In the context of the 2024 Olympic Games and in public space in general, knowledge of the density of crowds and their movements appears crucial. To go beyond the current state of the art, we propose an innovative solution that combines the work of the EURECOM laboratory to transform the flow of ther
Prospect FD : development of an aid decision-making tool for the prospection of vine Flavescence Dorée – Prospect FD
The general objective of the project is the development of a Decision Support System, allowing the improvement of the detection of flavescence dorée at the vineyard to curb its expansion on the one hand and to reduce the number of insecticide treatments carried out to eliminate the vector of this ph
Unsupervised spiking neural networks with analog memristive devices for edge computing – UNICO
Edge computing (EC) and the development of portable devices such as cell phones, autonomous robot or health tracking systems represent one of the big challenges for artificial intelligence (AI) deployment. These hardware systems present very tight constraints in terms of energy consumption and compu
Open data, tools and challenges for speaker anonymization – Harpocrates
Recordings of our voice are increasingly being captured, stored and processed when we interact with voice driven interfaces and other automated services. For the most part, this is done without any nefarious intent. Even so, recordings of our voice contain inherently sensitive, personal information,
Towards human AI – VIVAH
The programme strategy of the University of Artois is to promote and conduct core research on explainable AI as well as quality interdisciplinary research on important issues in Social Sciences and Chemistry. Two application domains, Health and Retail, considered as priorities by Region Hauts-de-Fr
disability mapping with Inertial signal to facilitate MOBility – INMOB
Access to precise geolocation on smartphones is globally considered as a convenience by mobility service operators. However, in 2020, no geolocation solution meets the needs of people with disabilities (PWD). There is a lack of sufficient precision in calculating coordinates in real-time, in all loc
