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Plankton recognition from imaging flow cytometer data using convolutional neural networks
(2018)
Research on plankton populations is bottlenecked by the ability to obtain species-level information within a required time frame. Recent technological advances in imaging hardware have made it possible to obtain large ...
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 ...
Material classification in the industry
(2023)
In the industry material classification and quality control are key challenges that require speed and accuracy. Automation of material classification using machine learning classifiers would provide a unified method that ...
Statistical quality control via machine learning
(2023)
Faults in the rolling element bearings are a common problem in rotating equipment. Therefore predicting and identifying the faults from vibration signals has gained increased attention. The goal of this thesis is to explore ...