Sökning: "methods of propagation"
Visar resultat 21 - 25 av 207 uppsatser innehållade orden methods of propagation.
21. Distortion and attenuation free gain-assisted Superluminal Propagtion in a Rare-Earth Doped Crystal
Master-uppsats, Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionenSammanfattning : A light pulse that travels through a narrow spectral window, i.e. a frequency range of low absorption, within a strongly absorbing frequency range will be delayed due to strong dispersion. LÄS MER
22. Can Large Language Models Enhance Fake News Detection? : Improving Fake News Detection With Data Augmentation
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, the proliferation of fake news has become a significant concern due to its potential to cause harm and sow discord in societies worldwide. To address this issue, machine learning techniques have been employed in a task referred to as fake news detection (FND) to assess the veracity of textual news content. LÄS MER
23. Odling av växter för naturvård i Sverige : behovsanalys och processbeskrivning
Kandidat-uppsats, SLU/Dept. of People and SocietySammanfattning : Förlusten av biologisk mångfald är numera ett erkänt problem över hela världen. Många forskare och organisationer har gått ut med att vi måste restaurera stora naturområden med utarmade ekosystem för att bromsa och helst vända denna trend (Balvanera et al. 2019; IUCN 2019). LÄS MER
24. Computation of Underwater Acoustic Wave Propagation Using the WaveHoltz Iteration Method
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this thesis, we explore a novel approach to solving the Helmholtz equation,the WaveHolz iteration method. This method aims to overcome some ofthe difficulties with solving the Helmholtz equation by providing a highlyparallelizable iterative method based on solving the time-dependent Waveequation. LÄS MER
25. Nonlinear Methods of Aerodynamic Data-driven Reduced Order Modeling
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : Being able to accurately approximate outputs of computationally expensive simulations for arbitrary input parameters, also called missing points estimation, is central in many different areas of research and development with applications ranging from uncertainty propagation to control system design to name a few. This project investigates the potential of kernel transformations and nonlinear autoencoders as methods of improving the accuracy of the proper orthogonal decomposition method combined with regression. LÄS MER