Sökning: "Speeding-up"

Visar resultat 1 - 5 av 84 uppsatser innehållade ordet Speeding-up.

1. 1. A novel approach for functionalising and separating Tröger's Base Analogues

   Master-uppsats, Lunds universitet/Centrum för analys och syntes

   Författare :Emil Jakobsson; [2023]
   Nyckelord :Tröger s Base; Synthesis; Chromatography; Supramolecular chemistry; Diastereomers; Organic chemistry; Chemistry;

   Sammanfattning : Tröger’s Base (TB) is a bicyclic compound containing a methanodiazocine group between two aromatic rings. The methylene bridge forces the molecule to have a bent formation; thus, the aromatic rings are close to 90 degrees relative to each other, resulting in a rigid concave aromatic cavity. LÄS MER

3. 2. Scene Reconstruction From 4D Radar Data with GAN and Diffusion : A Hybrid Method Combining GAN and Diffusion for Generating Video Frames from 4D Radar Data

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Alexandr Djadkin; [2023]
   Nyckelord :Deep generative models; Generative adversarial networks; Diffusion models; GAN; DGM; 4D imaging radar; Djupa generativa modeller; Generativa antagonistiska nätverk; Diffusionsmodeller; GAN; DGM; 4D-bildradar;

   Sammanfattning : 4D Imaging Radar is increasingly becoming a critical component in various industries due to beamforming technology and hardware advancements. However, it does not replace visual data in the form of 2D images captured by an RGB camera. LÄS MER

4. 3. Clinical Assessment of Deep Learning-Based Uncertainty Maps in Lung Cancer Segmentation

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Federica Carmen Maruccio; [2023]
   Nyckelord :3D U-Net; Contouring; Clinical validation; Deep learning; Lung cancer; Monte Carlo dropout; Probability map; Reliability diagram; Segmentation; Uncertainty map;

   Sammanfattning : Prior to radiation therapy planning, tumours and organs at risk need to be delineated. In recent years, deep learning models have opened the possibility of automating the contouring process, speeding up the procedures and helping clinicians. LÄS MER

5. 4. Machine learning based Topology Optimization

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

   Författare :Lina Wihrén; [2023]
   Nyckelord :Machine learning; Topology Optimization; Artificial neural networks; Micromobility vehicles; Technology and Engineering;

   Sammanfattning : This thesis aims to find a design suggestion for the chassis of a new micromobility vehicle developed by the company LEVTEK SWEDEN AB by using a multiple load, compliance based topology optimization. For this purpose, 9 static load cases are suggested, 4 of which have been derived from dynamic scenarios using an equivalent static load inspired approach based on free-body diagrams. LÄS MER

7. 5. An Evaluation of WebAssembly Pre-Initialization for Faster Startup Times

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :William Stackenäs; [2023]
   Nyckelord :WebAssembly; Wasm; pre-execution; pre-initialization; execution time; Wizer; WebAssembly; Wasm; förexekvering; förinitialisering; exekveringstid; Wizer;

   Sammanfattning : WebAssembly (Wasm) has emerged as a new technology for the web that enables complex and interactive web applications, while utilizing a compact and platform-independent bytecode format. Due to its flexibility, portability, and built-in security, it has since evolved to be used in many other embeddings, such as internet-of-things, server applications, and even mobile applications. LÄS MER