Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
developments in machine learning, the project investigates how runners’ shared social identity can influence their movement synchrony, physical load, and interaction with the running infrastructures. Using
-
. Three connected threads make up the research: Discovery: what patterns hide across the facets? - Using unsupervised machine learning (clustering, dimensionality reduction), topological data analysis and
-
technology Technology » Energy technology Engineering » Mechanical engineering Engineering » Thermal engineering Engineering » Computer engineering Engineering » Design engineering Researcher Profile First
-
of virtualizing and forecasting the evolution of the radio-electric environment. In the second phase, the candidate will investigate machine learning and AI-driven algorithms for NTN channel prediction, enabling