Sökning: "persson kth"

Visar resultat 11 - 15 av 193 uppsatser innehållade orden persson kth.

1. 11. Implementation av adaptiv evaluering för feedback i chatbot för yrkessvenska

   Kandidat-uppsats, KTH/Datavetenskap

   Författare :Sandra Persson; Hanna Skorupka; [2022]
   Nyckelord :;

   Sammanfattning : The report aims to study whether the implementation of language models in a chatbot for Swedish can make language learning more effective. A fundamental factor for an individual to have the opportunity to be integrated into the labor market and into society, is language. LÄS MER

3. 12. A comparison between embodied and operational carbon in a building envelope from a life cycle perspective

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Linnea Persson; [2022]
   Nyckelord :Operational carbon; embodied carbon; building envelope; Driftskedets klimatpåverkan; inbyggd klimatpåverkan; klimatskal;

   Sammanfattning : Sweden’s building sector contributes over one third of the country’s total energy consumption and over a fifth of its greenhouse gas emissions. To achieve the energy and climate goals that have been adopted by the Parliament in Sweden, work must be done within this sector to reduce its climate impact. LÄS MER

4. 13. Improving Training of Differentiable Neural Computers on Time Series

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

   Författare :Isak Persson; [2022]
   Nyckelord :Memory augmented neural networks; Differentiable neural computers; Recurrent neural networks; Time series; Transfer learning; Minnesförstärkta neurala nätverk; Differentierbara neurala datorer; Återkommande neurala nätverk; Tidsserier; Överföra lärande;

   Sammanfattning : Memory Augmented Neural Networks (MANN) is a hot research area within deep learning. One of the most promising MANN is the Differentiable Neural Network (DNC) which is able to learn, in a fully differentiable way, how to represent and store data into an external memory. LÄS MER

5. 14. Diminishing returns of higher mp3 bit rates : A literature review

   Kandidat-uppsats, KTH/Datavetenskap

   Författare :Erik Persson; Martin Börjesson; [2022]
   Nyckelord :;

   Sammanfattning : Digital audio is the by far most common way to listen to music today. It is therefore important to store audio files as efficiently as possible. A common way of doing this is by using compression, often with mp3 files. As with all non-lossless compression, some data is lost. LÄS MER

7. 15. Forecasting Efficiency in Cryptocurrency Markets : A machine learning case study

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

   Författare :Erik Persson; [2022]
   Nyckelord :Cryptocurrencies; Financial time-series; Multi step-ahead forecasting; Machine Learning; Feature selection; Kryptovalutor; Finansiella tidsserier; Flerstegsprognoser; Maskininlärning; variabelselektion;

   Sammanfattning : Financial time-series are not uncommon to research in an academic context. This is possibly not only due to its challenging nature with high levels of noise and non-stationary data, but because of the endless possibilities of features and problem formulations it creates. LÄS MER