Sökning: "pixlar"
Visar resultat 1 - 5 av 95 uppsatser innehållade ordet pixlar.
1. Beskattning av pixlar : Hanteringen av virtuell egendom i mindre onoterade bolag samt individbeskattningen
Uppsats för yrkesexamina på avancerad nivå, Karlstads universitet/Handelshögskolan (from 2013)Sammanfattning : Virtual property is fairly unregulated in the Swedish legal system. There has only been one court case where the term virtual property was explicitly mentioned. LÄS MER
2. Indocyanine-green fluorescence imaging to detect anastomotic insufficiency after esophagectomy
Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/FörbränningsfysikSammanfattning : This research project is concerned with the development of simulation models and image analysis algorithms, as well as instrumentation for characterizing anastomotic leakages after a patient has undergone surgery for esophageal cancer. Anastomotic leakage is a high-incidence complication after esophagectomy, a surgical procedure for esophageal cancer. LÄS MER
3. A cross-correlation analysis of a warm super-Neptune using transit spectroscopy
Kandidat-uppsats, Uppsala universitet/Institutionen för fysik och astronomiSammanfattning : A study was made in order to deduce whether certain chemical species, namely water (H2O) and carbon monoxide (CO), are present in the atmosphere of the exoplanet WASP-107 b, which lies about 200 light-years away from Earth in the constellation Virgo. The project was carried out at Uppsala University at the Department of Physics and Astronomy. LÄS MER
4. Comparing energy efficiency of Leaky integrate-and-fire and Spike response neuron models in Spiking Neural Networks
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Spiking Neural Networks (SNNs) are a type of neural network that is designed to mimic the way neurons function in our brains. While there have been notable advancements in developing SNNs, energy consumption hasn't been studied to the same extent. This gets especially relevant with steadily increasing network sizes. LÄS MER
5. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. LÄS MER