Hae LUTPubista
Aineistot 1-10 / 17
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, ...
Video ads conversion rate performance modeled as classification problem
(2020)
Digital advertising has become ubiquitous thanks to the broader usage of mobile devices. Hence, advertisers require robust tools to optimize campaigns by distributing videos with high conversion rates. This work approaches ...
Metric learning based pattern matching for species agnostic animal re-identification
(2021)
In the active effort to monitor and protect endangered animal species, modern technology is replacing the previously used conventional techniques of tracking using GPS or tagging which are considered invasive in nature. ...
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 ...
One-to-many and many-to-many matching for Saimaa ringed seal re-identification
(2022)
Saimaa ringed seals are among the most endangered seal species. Monitoring Saimaa ringed seals using image data is a useful tool in their conservation efforts. The images can be collected automatically by using camera traps ...
Skeleton-based human action recognition using spatio-temporal attention graph convolutional networks
(2022)
In human action recognition, skeleton-based data is an effective way to represent the performing actions. Many recent studies focus on this line of research and significant results have been achieved. In this study, an ...
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 ...
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 ...