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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, ...
Plankton recognition using similarity learning
(2021)
Several automated classification methods for plankton images have been developed. These methods typically require an explicit description of features, data augmentation, and are not suitable for classes with a few example ...
Image clustering for unsupervised analysis of plankton data
(2020)
Advancements in automated imaging has made it possible to enhance the data both in terms of quantity and quality. This has prompted the development of plankton imaging systems for acquiring the species level information ...
3D reconstruction of logs from board images
(2022)
Sawmills nowadays are heavily automated and especially sawing process optimisation could improve overall yield of sawn timber. The main focus of this thesis work is to create a method to reconstruct a 3D-model of a log ...
Active learning for plankton recognition
(2022)
Plankton is essential part of the ocean ecosystem as it is an important food source for many marine life, both large and small and is also oxygen producer. Therefore, its quantity and condition must be monitored and its ...
Segmenting knots in X-ray CT scans of logs
(2023)
The main objective of this thesis is to solve the problem of segmenting wood knots within and on the surface of wood logs by using three-dimensional (3-D) image data of wood logs obtained from X-ray Computerized Tomography ...
Real estate building detail enrichment with street view image prediction
(2024)
Within the domain of urban analytics, fundamental aspects defining a real estate property include its construction year, number of floors, and building use. However, it is essential to acknowledge that obtaining accurate ...