Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
-
objective function (eg, approximation error). A key question is to devise an algorithm that organizes the operators into a sequence, such that the best operators (low cost and high benefits) are performed
-
to pilot and demonstrator levels, particularly for polymeric and functional materials. Perform key parameter calculations (e.g., heat/mass transfer, mixing, kinetics) to guide scale-up decisions. Design, set
-
trauma surgery, affecting approximately 10.3 individuals* per 100,000 inhabitants each year [1]. They represent a significant public health issue due to the high costs associated with dependency and
-
performance of diagnostic tests when these tests are imperfect. The case of plague in Madagascar in 2017. ten Bosch et al, PLoS Biology 2022 Development of an ensemble model to forecast COVID-19
-
enabling trustworthy AI adoption through methods and tools for compliance, readiness, and performance evaluation. In the field of Smart Cities, we lead the operations of the CitCom.ai project. CitCom.ai is
-
with high dimensionality: Computational difficulties linked to the high dimensionality of the underlying tensor approach have been tackled in [GOU20] by undersampling the measured AF ECG signals
-
Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
. The starting point will be the microstructural databases of the BIA where different properties (tissue structure, cellulose content) will serve to establish scalar links to predict very early the performance and
-
Keywords Digital twin, signal processing, AI, operating room, risk management, healthcare improvement. Context Surgery represents a strategic area for improving practices with high potential
-
, copyrighted, or biased. By studying brain data recordings and building computational models that mimic real populations of neurons, the project aims to uncover active unlearning: how the brain learns