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Found 5 papers, 2 papers with code
Make Thunderbolts Less Frightening -- Predicting Extreme Weather Using Deep Learning
Forecasting severe weather conditions is still a very challenging and computationally expensive task due to the enormous amount of data and the complexity of the underlying physics.
The Case for Deep Query Optimisation
We benchmark that operator both independently as well as in the context of DQO-enabled dynamic programming.
Databases
The Error is the Feature: how to Forecast Lightning using a Model Prediction Error
Current satellite-based approaches to predict thunderstorms are usually based on the analysis of the observed brightness temperatures in different spectral channels and emit a warning if a critical threshold is reached.
How to Databasify a Blockchain: the Case of Hyperledger Fabric
This raises two questions: (1) Which conceptual similarities and differences do actually exist between a system such as Fabric and a classical distributed database system?
Distributed, Parallel, and Cluster Computing
The Case for Automatic Database Administration using Deep Reinforcement Learning
To simplify the configuration, industry grade DBMSs are usually shipped with various advisory tools, that provide recommendations for given workloads and machines.
