Sökning: "structural similarity"

Visar resultat 6 - 10 av 79 uppsatser innehållade orden structural similarity.

1. 6. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction

   Master-uppsats, KTH/Matematisk statistik

   Författare :Sabina Syed; Josefin Stenberg; [2023]
   Nyckelord :Adversarial Convex Regularization; Computer Vision; Cone Beam Computed Tomography; Convolutional Neural Networks; Deep Learning; Image Reconstruction; Adversarial Convex Regularization; Bildrekonstruktion; Datorseende; Djupinlärning; Faltningsnätverk; Volymtomografi;

   Sammanfattning : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. LÄS MER

3. 7. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)

   Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

   Författare :Mahtab Davari; [2023]
   Nyckelord :Knowledge graph; Positive Energy Districts PEDs ; longest path; Questions and Answers; Community Detection; Node Embedding; t-SNE plots; Edge Prediction;

   Sammanfattning : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. LÄS MER

4. 8. En jämförelse av Deep Learning-modeller för Image Super-Resolution

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

   Författare :Rafael Bechara; Max Israelsson; [2023]
   Nyckelord :Bachelor’s thesis; Image Super-Resolution; Deep Learning models; EDSR; LapSRN; ESPCN; FSRCNN; resolution enhancement; low-resolution images; quantitative evaluation; RMSE; PSNR; SSIM; Abyssinian cats; dataset; image quality.; Kandidatexamensarbete; Image Super-Resolution; EDSR; LapSRN; ESPCN; FSRCNN; Djupinlärningsmodeller; upplösningsförbättring; lågupplösta bilder; kvantitativ utvärdering; RMSE; PSNR; SSIM; abyssinska katter; datamängd; bildkvalitet.;

   Sammanfattning : Image Super-Resolution (ISR) is a technology that aims to increase image resolution while preserving as much content and detail as possible. In this study, we evaluate four different Deep Learning models (EDSR, LapSRN, ESPCN, and FSRCNN) to determine their effectiveness in increasing the resolution of lowresolution images. LÄS MER

5. 9. Using Approximate Computing Circuits to Optimize Power of an ASIC

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Padmashree Nuggehalli Srinivasa; Shi-Tien Hsing; [2023]
   Nyckelord :ASIC; Power; Optimization; Approximate Arithmetic Circuits; Approximate Computing; Technology; Technology and Engineering;

   Sammanfattning : The growing demand for network cameras to support real-time image processing and machine-learning applications has created a need for low-power solutions. Although technology scaling makes complex computations feasible, voltage scaling is limited, leading to higher power density and dark silicon problems. LÄS MER

7. 10. Examine the Impact of Attractiveness of Social Media Influencers on Douyin User Purchase Intentions: A Quantitative Study of Sportswear Industry

   Magister-uppsats, Lunds universitet/Företagsekonomiska institutionen

   Författare :Zehui Sun; Xiaoyuan Cheng; [2023]
   Nyckelord :Social media influencer; Influencer marketing; Source attractiveness; Consumer attitude; Purchase intention; Business and Economics;

   Sammanfattning : Thesis purpose: The objective is to understand the impact of social media influencers’ familiarity, likeability and similarity on the purchase intention of Douyin users, particularly in the sportswear industry. Methodology: This study has utilised a quantitative method based on a positivist philosophical position, and followed a deductive approach. LÄS MER