Sökning: "cluster identification"
Visar resultat 1 - 5 av 59 uppsatser innehållade orden cluster identification.
1. Guld och gröna skogar : En analys av värdefull ekmiljö i Stockholms län
Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : Ek (Quercus spp.) är nationellt av stor betydelse för biologisk mångfald, arterna utgör centrala och grundläggande komponenter i lokala ekosystem. Stockholms län är en av Sveriges mest tätbefolkade regioner där en snabb förtätning av urbana miljöer och hög exploateringstakt utgör ett reellt hot mot värdefulla ekmiljöer. LÄS MER
2. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaperSammanfattning : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. LÄS MER
3. Beyond political interest: Citizen profile identification from the European Social Survey
Master-uppsats, Uppsala universitet/Statsvetenskapliga institutionenSammanfattning : The first step towards developing targeted policies to boost political interest is to identify the main characteristics of individuals interested (and those who are not) in politics. This article aims at exploring the common factors shared by individuals with the same political interest. LÄS MER
4. Counterfeit product grouping - a cluster ensemble approach
Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : he need for the development and use of efficient and reliable Anticounterfeit techniques in the manufacturing industry and online trading has recently increased tremendously. Flooding counterfeit products in the international market have several adverse social and economic impacts globally. LÄS MER
5. Identification, investigation and prediction of post-COVID phenotypes : Using Cluster analysis and Ordinal logistic regression to determine severity of post-COVID
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : It is believed that a large number of people experience remaining symptoms after COVID-19, so-called post-COVID. The formal definition and diagnostic criteria of post-COVID have been a scientific controversy. So far, there is no reliable system for distinguishing the severity of post-COVID. LÄS MER