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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 ...
Unsupervised anomaly detection from wooden boards using autoencoders
(2019)
For wood processing in the sawmill industry, quality of the raw material in every step affects the production efficiency. Defects in the sawn timber, such as wane, knots, cracks, watermarks, fungal damage, insect defects, ...
CNN-based ringed seal pelage pattern extraction
(2020)
The topic of this thesis is inspired by the conservation efforts of Saimaa ringed seals, which are in danger of becoming extinct with no appropriate actions. The work aims to develop a fur pattern extraction framework to ...