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We apply neural networks and random forest to study geological data. In part one of the thesis, a ground water level prediction task is performed with recurrent neural networks, random forest and vector autoregression. The input data consists of weather data and other ground water level time series. The MAE and R-squared is evaluated and the variation in performance of the neural networks is discu
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Purpose The master thesis highlights improvements potentials that exist in the Psychiatric ER in Stockholm County and the resource-saving measures that can be realized in the medical logistics through by producing a simulation model of the system. Methodology In order to fulfill the purpose of the master thesis qualitative methods such as interviews has been used successfully. To make the simulati
