Sökning: "Variance Reduction techniques"
Visar resultat 1 - 5 av 19 uppsatser innehållade orden Variance Reduction techniques.
1. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging
Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationSammanfattning : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. LÄS MER
2. Stochastic Runge–Kutta Lawson Schemes for European and Asian Call Options Under the Heston Model
Kandidat-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikationSammanfattning : This thesis investigated Stochastic Runge–Kutta Lawson (SRKL) schemes and their application to the Heston model. Two distinct SRKL discretization methods were used to simulate a single asset’s dynamics under the Heston model, notably the Euler–Maruyama and Midpoint schemes. LÄS MER
3. Importance Sampling in Wireless Communication Systems with Ultra-Low Error Rates
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Simulation mimics the behaviour of real world processes or the system over time. It helps us to understand the impact of modification and the effect of introducing various interventions to a system. LÄS MER
4. Optimization of e-beam and x-ray target geometry of a solid x-ray anode source
Master-uppsats, Uppsala universitet/MaterialfysikSammanfattning : The X-ray tube is one of the most common types of X-ray sources, which is widely used in research laboratories and industry. Electrons are accelerated towards a metallic target to generate X-ray photons, thus creating a significant thermal load on the metal. LÄS MER
5. Semi-Supervised Deep Learning using Consistency-Based Methods for Segmentation of Medical Images
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In radiation therapy, a form of cancer treatment, accurately locating the anatomical structures is required in order to limit the impact on healthy cells. The automatic task of delineating these structures and organs is called segmentation, where each pixel in an image is classified and assigned a label. LÄS MER