2nd KomMonitor Community Day Promotes Networking
Networking and workshop event for the KomMonitor community
After the great success of the first KomMonitor Community Day last year, Bochum University of Applied Sciences and 52°North once again welcomed users and developers, who were excited to hear about the latest news and use cases surrounding KomMonitor.
First KomMonitor Community Day
KomMonitor users and developers met and discussed
More and more municipalities and district administrations in North Rhine-Westphalia are introducing the open source product KomMonitor as a spatial observation tool. With the first Community Day, Bochum University of Applied Sciences and 52°North cordially invited users and developers to exchange ideas with KomMonitor in a relaxed atmosphere.
Hydrological time series forecasting with Neural Networks
Bochum students explore deep learning techniques for rainfall runoff predictions
In recent years, the applicability of Machine Learning approaches for hydrological use cases has reached great attendance. Especially long short-term memory (LSTM) networks show comparable results to conceptual models when being applied to hydrological time series forecasting problems. Now, Interdisciplinary students from Bochum explored innovative deep learning techniques for rainfall-runoff modeling.