Haku
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Prediktering av kryptovalutor med återkommande neuronnät
(2020)
Inom de senaste åren har det utvecklats en massa tillämpningar, ramverk och verktyg för att lösa olika problem inom djupinlärning. Nya tekniker i maskininlärning och speciellt algoritmer inom djupinlärning introducerar ...
Predicting fine particulate matter levels in Finnish buildings
(2019)
Fine particulate matter (PM 2.5 ) is considered one of the most harmful air pollutants. While
a large proportion of the particles is originating from outdoor sources, people are mostly
exposed while indoors. Predicting ...
Time-series sales forecasting for an Enterprise Resource Planning system
(2019)
Resale businesses and product suppliers rely on enterprise resource planning (ERP) systems to manage their inventory. One of these systems is Microsoft Business Central (BC). BC can create purchase orders for sold products, ...