Hae LUTPubista
Aineistot 31-40 / 72
Virtual sawing using generative adversarial networks
(2021)
The global trend towards digitalization along with the 4th Industrial Revolution allows building new innovative solutions to optimize manufacturing. In particular, the highly competitive sawmill industry is not an exception. ...
Understanding multimodal timber matching networks via activation maps
(2021)
The use of digital technologies in timber tracing from the raw material to the end product, i.e., from logs to boards, provides benefits for the sawmilling industry such as better product quality prediction, efficient ...
Lossess representation of questionnaire data
(2021)
Data collected with questionnaires is oftentimes Likert-type. Many research are based on handling and representing this type of data. This thesis introduces a new method to represent Likert-type data, providing a representation ...
Seal pose estimation using convolutional neural networks
(2021)
Conservation of the endangered Saimaa ringed seal population requires an effective approach to re-identify animals, which would allow biologists and ecologists to monitor the population. The ideal approach of ringed seal ...
Spatiotemporal Matérn field modelling of Baltic Sea turbidity
(2021)
The state of the Baltic Sea has been a huge topic in recent years, at least in Finland. Algal blooms, eutrophication and environmental hypoxia have been a cause for worry for scientists. This thesis focuses on the modelling ...
Human-in-the-loop for efficient training of retinal image analysis methods
(2021)
Eye-related diseases like diabetic retinopathy can be visually diagnosed by medical experts. However, this is time-consuming work requires much effort. For solving this problem, automated computer-aided solutions have been ...
Deep forecasting of renewable energy production with numerical weather predictions
(2021)
Renewable energy is used in many countries with numerous health, environmental and economic benefits. Forecasting renewable energy production helps to predict future energy produced in order to achieve demand and supply ...
Improvement of the semi-chemical pulping process uniformity through data-analysis
(2023)
The Heinola Fluting Mill experienced a decline in the quality of its end product, fluting, during the winter 2021–2022, which was believed to be related to the mill’s own pulp production. This Master’s thesis focuses on ...
On Bayesian approach to experimental design
(2022)
Design of experiment has been widely applied in the fields of science and industry but an excellent design of experiment diverges the ratio of extracted information to invested resources, so it is necessary to obtain an ...
Reinforcement learning in multi-mirror adaptive optics
(2022)
When imaging astronomical objects from the earth, the turbulent air in the atmosphere causes perturbations to the wavefront of the arriving light. This can then be seen as a blur in the final images. These perturbations ...