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Predicting lead times of purchase orders using gradient boosting machine
(2020)
A company can make more accurate predictions of its internal processes and sales lead
times when it has accurate predictions of the lead times of purchase orders. It results in more
efficient processes as well as improved ...
Investigating the impact of Brexit on the exchange rate volatility of the pound sterling with respect to the Euro and the US dollar
(2020)
This thesis investigates did Brexit affect on the exchange rate volatility of the British pound sterling towards the Euro (GBP/EUR) and towards the U.S. dollar (GBP/USD). The observed time frame is from January 2011 to ...
Improving the performance of Bayesian deep model training for artery-vein segmentation
(2020)
Retinal images are an important tool for diagnosis of ocular diseases. Automating the process of screening the retinal images would allow wider screening and make diagnosing of patients’ swifter. The possibility of performing ...
Neuroverkko-oppimistyöpajan toteutus LUT Junior Universityä varten
(2020)
Kandidaatintyössä toteutettiin LUT Junior Universityä varten neuroverkon toimintaa visualisoiva sovellus. Työpajan kohderyhmänä on 8-luokkalaiset oppilaat. Sovelluksessa luotu neuroverkko jätettiin tarkoituksen mukaisesti ...