Sökning: "histograms"
Visar resultat 11 - 15 av 80 uppsatser innehållade ordet histograms.
11. Classification of Terrain Roughness from Nationwide Data Sources Using Deep Learning
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : 3D semantic segmentation is an expanding topic within the field of computer vision, which has received more attention in recent years due to the development of more powerful GPUs and the newpossibilities offered by deep learning techniques. Simultaneously, the amount of available spatial LiDAR data over Sweden has also increased. LÄS MER
12. Markov Chain Monte Carlo (MCMC) and Bayesian Inference for Gravitational Waves
Kandidat-uppsats, Lunds universitet/Astronomi - Genomgår omorganisationSammanfattning : The Laser Interferometer Space Antenna (LISA) is a space borne gravitational wave detec- tor set to launch in 2034, with the objective of detecting and studying the Gravitational Waves (GWs) of our universe. So far, ground-based detectors such as the Laser Interferometer Gravitational-Wave Observatory (LIGO) have been successful in detecting GWs, but the limitations of ground based detectors is what makes LISA so special. LÄS MER
13. The effect of noise filters on DVS event streams : Examining background activity filters on neuromorphic event streams
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Image classification using data from neuromorphic vision sensors is a challenging task that affects the use of dynamic vision sensor cameras in real- world environments. One impeding factor is noise in the neuromorphic event stream, which is often generated by the dynamic vision sensors themselves. LÄS MER
14. Evaluation of tomographic methods for limestone characterization : Using synchrotron-based X-ray tomography to determine porosity, internal structure and internal distributions in limestone
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : Limestone is a raw material in the cement and quicklime industry and knowledge about limestone characteristics can help improve and optimize production processes. In the end this can lead to a reduction in CO2 emissions from the industry. In this project X-ray tomography (XRT) was used to examine limestone samples. LÄS MER
15. Moving Target Classification with Radar Point-Clouds and Supervised Contrastive Learning
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This thesis deals with radar data for the purpose of moving target classification in the context of surveillance. The radar data in question comes in the form of point-clouds represented as frame-wise histograms with several channels and we seek to improve upon an existing cross-entropy based deep learning classifier using supervised contrastive loss. LÄS MER