It’s Tuesday. 9pm. Silence in room 2. Typing. Whispering. Incredulous laughter. I am standing in front of 15 people staring at their screens, relieved to see that some of them struggle. Relieved? Exactly! But let’s take a step back.
enviroCar App: Replace View Binding and Event Bus – Mid-Term Blog Post
Introduction
The enviroCar app makes use of various 1st and 3rd party open source libraries to provide various functionalities along with a seamless experience to users. My goal is to update all the deprecated libraries currently implemented by replacing them with superior alternatives or updating them to their latest stable release.
Short introduction to the OGC API – Processes – Part 1: Core
In January, the Open Geospatial Consortium (OGC) released Part 1 of the OGC API – Processes standard. As one of the editors, I would like to provide a short introduction to the API.
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.
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