Sökning: "pixel"
Visar resultat 6 - 10 av 431 uppsatser innehållade ordet pixel.
6. 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
7. Quality enhancement of time-resolved computed tomography scans with cycleGAN
Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenSammanfattning : Time-resolved x-ray tomography enables us to dynamically and non-destructively study the interior of a specimen. The obtainable temporal resolution is limited by the x-ray flux and the desired spatial resolution. LÄS MER
8. Wildfire growth modelling in Sweden - a suitability assessment of available data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Wildfires are worldwide problems that stress societies by damaging their economies and they cause serious, sometimes fatal, health implications among the populations. In recent years, the rate of wildfire occurrence has increased as the global average temperature has risen. Because of global climate change, this rate is expected to continue rising. LÄS MER
9. Developing a Neural Network Model for Semantic Segmentation
M1-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : This study details the development of a neural network model designed for real-time semantic segmentation, specifically to distinguish sky pixels from other elements within an image. The model is incorporated into a feature for an Augmented Reality application in Unity, leveraging Unity Barracuda—a versatile neural network inference library. LÄS MER
10. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. LÄS MER