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Plankton recognition from imaging flow cytometer data using convolutional neural networks
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 ...
Filter method for feature selection using fuzziness index number with fuzzy k-nearest neighbor classifier
The extensive data sets of real-world contain high-dimensional information; among them, some may hold irrelevant information that complicates the data set. Feature selection is regarded as a useful data preprocessing ...
Investigating the impact of Brexit on the exchange rate volatility of the pound sterling with respect to the Euro and the US dollar
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 ...
Semi-supervised learning for plankton image classification
The production of big data from plankton populations has become feasible with the use of imaging devices. This opens up the possibility of testing key characteristics in planktonic systems. The manual labeling of images ...