Sökning: "Text input methods"
Visar resultat 6 - 10 av 61 uppsatser innehållade orden Text input methods.
6. A COMPARISON OF SEARCHING DATA WITH, AND WITHOUT ELASTICSEARCH IN A SQL DATABASE
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Digitalization and managing big data are today becoming vital across all sectors of our society. Databases are highly valuable for companies and organizations to ensure that information resources are well managed. As of today, there are diverse database management systems (DBMS) to choose from. LÄS MER
7. Developing an Advanced Method for Kinship from Ancient DNA Data
Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : The analysis of kinship from ancient DNA (aDNA) data has the potential to provide insight into social structures of prehistoric societies. Kinship analysis is gaining popularity as optimised wet-lab methods allow for studies with sample sizes on the level of whole cemeteries. LÄS MER
8. Enjämförelse mellan en digital laboration och en traditionell labortion i fysikundervisning : En fallstudie
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Praktiska inslag i fysikundervisning spelar en betydande roll för elevernas lärande. Praktiska undersökande och utforskande arbetssätt gynnar elevernas kunskapsutveckling och deras uppfattning kring nya begrepp. LÄS MER
9. Text-Driven Fashion Image Manipulation with GANs : A case study in full-body human image manipulation in fashion
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Language-based fashion image editing has promising applications in design, sustainability, and art. However, it is considered a challenging problem in computer vision and graphics. The diversity of human poses and the complexity of clothing shapes and textures make the editing problem difficult. LÄS MER
10. Classification of invoices using a 2D NLP approach : A comparison between methods for invoice information extraction for the purpose of classification
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Many companies are handling a large number of invoices every year. To manually categorize them takes a lot of time and resources. For a model to automatically categorize invoices, the documents need to be properly read and processed by the model. LÄS MER