Developing down scaled NWP models to predict frost using a hybrid global NWP down scaling approach with high-resolution IoT data and regional NWP models such as WRF.
We are also developing hybrid IoT frost monitoring infrastructures consisting of wireless sensor networks, drones, and weather stations.
Develop a tool chain used by ML to evaluate different battery types with minimal effort in light of future rapid changes in battery technologies.
Who brings data into the system? Are all providers treated fairly? Does all content have a chance of being discovered? What fairness criteria should be applied? Is there a trade-off between different definitions of fairness? Fairness between providers and consumers?
Creation of user profiles based on anonymized activity data of tourists. Recommendation of activities that fit the user profiles considering factors such as time, weather, over-tourism, etc.
Use of reinforcement learning to optimize the control of energy recovery and consumption while driving. The result: adapted driving style to optimize energy consumption.
The opportunities of digital transformation.
The active participation of patients is an important factor for…
Recent years have seen perceptions of a “reproducibility crisis” grow…