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Deep learning for automatic image-based biomonitoring of aquatic ecosystems – BIOINDIC-IA
Aquatic ecosystems are facing many anthropogenic pressures, highlighting the urgent need for developing innovative ecological diagnostic tools supporting the selection of robust management responses. Current diagnostic tools are able to estimate the ecological status from taxonomy-based (i.e. list o
Extended machine vision control capabilities using digital holography & artificial neural networks – HOLO-CONTROL
HOLO-CONTROL aims to explore multiscale sensitivity in the positioning of samples versus the six degrees of freedom (DoF) by digital holography to perform sub-voxel measurements in real-time. A key novelty of the project will be the incorporation of Artificial Intelligence (AI) harnessing Artificial
Phase transitions in bio-gels: towards structure/properties control of bio-aerogels and of responsive biomaterials – Bio-Gel
Synthetic polymer gels are known as «intelligent» materials able to undergo conformation changes in response to external inputs. In the view of transition to bio-based economy, we want to replace petrol-based gels by bio-based ones and suggest new applications. The goal of this project is two-fold:
DIgital investigation of Phonetic VARiation: large-scale multilingual modeling of lenition and fortition – DIPVAR
The digital revolution, now at the heart of the humanities, has opened up new avenues for the linguistic research. Thanks to digital methods, large collections of data covering natural communication situations and many languages are finally available for study. Our proposal is in line with this dire
Collecting, Representing, cOmpleting, merging and Querying heterogeneous and UncertaIn waStewater and stormwater network data – CROQUIS
Public and private stakeholders of the wastewater and stormwater sectors are increasingly confronted with the analysis of massive heterogeneous data (imprecise and uncertain geographical data, digital/analogue maps, etc). Obtaining accurate and updated information on the underground wastewater netwo
Translating sign language with computer vision – CorVis
The CorVis project aims to develop cutting-edge sign language translation techniques, based on recent advances in artificial intelligence, in particular in the fields of computer vision and machine translation. Sign language analysis from video data is understudied in computer vision despite its gre
AI-aided FEC code design and decoding – AI4CODE
The AI4CODE project brings together 6 research team with strong expertise in the design, decoding and standardization of forward-error-correction codes. The aim is to develop skills in artificial intelligence and machine learning, and to explore how learning techniques can contribute to the improvem
DOLL: Efficient DOwnLink Communication for Increased LoRaWAN Capacity – DOLL
One of the most representative technologies for long-range networks, LoRaWAN, has gained global momentum. Telecommunication operators like Bouygues Telecom, Orange, and KPN have deployed several thousand LoRaWAN gateways each to accelerate innovation in areas such as smart cities, environmental moni
High intensity positron beams for the next breakthroughs – INSPIRER
Positron sources are essential to the future e+e-/µ+µ- collider projects (ILC, CLIC, FCC-ee, LEMMA, etc.) with challenging critical requirements of high-beam intensity and low emittance necessary to achieve high luminosity. The intensities required from the positron sources at the future colliders a
Black-blood Magnetic Resonance Imaging and Automated AI-based Segmentation for Highly Detailed Characterization of Myocardial Scar – HEARTFACT
Cardiovascular diseases cause more than a third of all deaths in Europe. Late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) plays a central role in the management of patients with structural heart diseases by providing high contrast between the injured and healthy myocardium. Unfortuna
