Sökning: "overhead tasks"
Visar resultat 6 - 10 av 55 uppsatser innehållade orden overhead tasks.
6. Probabilistic Forecasting through Reformer Conditioned Normalizing Flows
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Forecasts are essential for human decision-making in several fields, such as weather forecasts, retail prices, or stock predictions. Recently the Transformer neural network, commonly used for sequence-to-sequence tasks, has shown great potential in achieving state-of-the-art forecasting results when combined with density estimations models such as Autoregressive Flows. LÄS MER
7. RAUK: Automatic Schedulability Analysis of RTIC Applications Using Symbolic Execution
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : In this thesis, the proof-of-concept tool RAUK for automatically analyzing RTIC applications for schedulability using symbolic execution is presented. The RTIC framework provides a declarative executable model for building embedded applications, which behavior is based on established formal methods and policies. LÄS MER
8. Continual Learning and Biomedical Image Data : Attempting to sequentially learn medical imaging datasets using continual learning approaches
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : While deep learning has proved to be useful in a large variety of tasks, a limitation remains of needing all classes and samples to be present at the training stage in supervised problems. This is a major issue in the field of biomedical imaging since keeping samples in the training sets consistently is often a liability. LÄS MER
9. The World in 3D : Geospatial Segmentation and Reconstruction
Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : Deep learning has proven a powerful tool for image analysis during the past two decades. With the rise of high resolution overhead imagery, an opportunity for automatic geospatial 3D-recreation has presented itself. This master thesis researches the possibil- ity of 3D-recreation through deep learning based image analysis of overhead imagery. LÄS MER
10. Multi-core Support on a Robot Controller
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The demand for high performance, accuracy, and other requirements is increasing due to the numerous complex functionalities that an industrial robot performs such as arc welding. The software support and utilization of multi-cores can achieve higher performance, lower latency, and lower energy consumption compared to uni-processors. LÄS MER
