Sökning: "Synthetic methods"
Visar resultat 1 - 5 av 479 avhandlingar innehållade orden Synthetic methods.
1. Synthetic microdata
Sammanfattning : This licentiate thesis presents a work focused on synthetic microdata. The main purpose of this thesis is to build a basis for further work in the field of constructing (fabricating and reconstructing) synthetic populations and its objectives are threefold. LÄS MER
2. Galiellalactone Synthetic Studies
Sammanfattning : In search for remedies and treatments, science has recurred to Mother Nature. This is where galiellalactone was found, a fungal metabolite isolated from Galiella rufa in 1990. Since then chemists and biologists have been studying its properties and found it to be a potential candidate against castration-resistance prostate cancer (CRPC). LÄS MER
3. Regional Geoid Determination Methods for the Era of Satellite Gravimetry : Numerical Investigations Using Synthetic Earth Gravity Models
Sammanfattning : It is the purpose of this thesis to investigate different regional geoid determination methods with respect to their feasibility for use with a future GOCE satellite-only Earth Gravity Model (EGM). This includes investigations of various techniques, which involve different approximations, as well as the expected accuracy. LÄS MER
4. Development of Numerical Methods for Accurate and Efficient Scale-Resolving Simulations
Sammanfattning : Hybrid RANS (Reynolds-Averaged Navier-Stokes)-LES (Large-Eddy Simulation) techniques are considered to be sufficiently accurate and computationally affordable for the aeronautical industry. Scale-resolving simulations is a powerful tool that can accurately predict complex unsteady compressible high-Reynolds-number turbulent flows, as often encountered aeronautical applications. LÄS MER
5. Synthetic data for visual machine learning : A data-centric approach
Sammanfattning : Deep learning allows computers to learn from observations, or else training data. Successful application development requires skills in neural network design, adequate computational resources, and a training data distribution that covers the application do-main. LÄS MER