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cs.LG2021
NeuralPDE: Modelling Dynamical Systems from Data
Andrzej Dulny, Andreas Hotho, Anna Krause
Many physical processes such as weather phenomena or fluid mechanics are governed by partial differential equations (PDEs). Modelling such dynamical systems using Neural Networks i…
cs.LG2021
Anomaly Detection in Beehives: An Algorithm Comparison
Padraig Davidson, Michael Steininger, Florian Lautenschlager +2
Sensor-equipped beehives allow monitoring the living conditions of bees. Machine learning models can use the data of such hives to learn behavioral patterns and find anomalous even…