Sökning: "likhetsanalys"
Visar resultat 1 - 5 av 7 uppsatser innehållade ordet likhetsanalys.
1. Evaluating the effects of data augmentations for specific latent features : Using self-supervised learning
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Supervised learning requires labeled data which is cumbersome to produce, making it costly and time-consuming. SimCLR is a self-supervising framework that uses data augmentations to learn without labels. This thesis investigates how well cropping and color distorting augmentations work for two datasets, MPI3D and Causal3DIdent. LÄS MER
2. An Investigative Study of Testing Strategy and Test Case Creation in a Hardware-Software Co-design Environment Using Software Product Line Theory
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The requirements for software products have increased in recent years. This is both due to more complex technology as well as more requirements from the customers. An approach to solve this issue is by using a software product line (SPL) where reusable assets are developed to produce more tailor-made products with reduced time to market. LÄS MER
3. Text Similarity Analysis for Test Suite Minimization
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Software testing is the most expensive phase in the software development life cycle. It is thus understandable why test optimization is a crucial area in the software development domain. In software testing, the gradual increase of test cases demands large portions of testing resources (budget and time). LÄS MER
4. Experimental Study of Heat Transfer Coefficient and Film Cooling Effectiveness
Master-uppsats, KTH/EnergiteknikSammanfattning : This thesis investigates the possibility to evaluate the film cooling thermal performance on flat plate using Thermochromic Liquid Crystal. After an introduction of the basic concept and background of gas turbine blades film cooling and Thermochromic Liquid Crystal, a thorough explanation of four methods is presented. LÄS MER
5. A Novel System for Deep Analysis of Large-Scale Hand Pose Datasets
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This degree project proposes the design and the implementation of a novel systemfor deep analysis on large-scale datasets of hand poses. The system consists of a set ofmodules for automatic redundancy removal, classification, statistical analysis andvisualization of large-scale datasets based on their content characteristics. LÄS MER