Sökning: "random effects Model"

Visar resultat 6 - 10 av 157 uppsatser innehållade orden random effects Model.

  1. 6. Sentiment-Driven Cryptocurrency Price Prediction : A Comparative Analysis of AI Models

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Jammithri Kotapati; Suma Vendrapu; [2023]
    Nyckelord :Artificial Intelligence; Cryptocurrency Prices; News Articles; Sentiment Analysis; Social Media Posts. ii;

    Sammanfattning : Background: In the last few years, there has been rapid growth in the use of cryptocurrency, as it is a form of digital currency and was developed using blockchain technology, so it is almost impossible to counterfeit cryptocurrency. Due to these features, it has attracted a lot of popularity and attention in the market. LÄS MER

  3. 7. Female Entrepreneurship in Europe : How do socioeconomic and individual factors influence female entrepreneurial activity in Europe?

    Kandidat-uppsats, Jönköping University/Internationella Handelshögskolan

    Författare :Carina Wienecke; Henrik Berntsson; [2023]
    Nyckelord :female entrepreneurship; socioeconomic factors; individual factors; GEM; European countries; panel data study;

    Sammanfattning : Background: Despite the societal progress made in recent decades, a gender gap in entrepreneurship persists. In Europe, there are fewer female entrepreneurs than male entrepreneurs. This issue is significant as female entrepreneurship substantially impacts economic development and social well-being. LÄS MER

  4. 8. Evaluating the Effects of Neural Noise in the Multidigraph Learning Rule

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

    Författare :Gustav Bressler; Sigvard Dackevall; [2023]
    Nyckelord :;

    Sammanfattning : There exists a knowledge gap in the field of Computational Neuroscience, where many learning models for neural networks fail to take into account the influence of neural noise. The purpose of this thesis was to address this knowledge gap by investigating the robustness of the Multidigraph learning rule (MDGL) when exposed to two kinds of neural noise: external noise and internal noise. LÄS MER

  5. 9. WSA-ENLIL + Cone ensemble modeling of an Earth-directed ICME : Comparison with in-situ observations by Solar Orbiter and WIND at L1

    Master-uppsats, Uppsala universitet/Institutionen för fysik och astronomi; Uppsala universitet/Institutet för rymdfysik, Uppsalaavdelningen

    Författare :Alberto García Ribas; [2023]
    Nyckelord :;

    Sammanfattning : Coronal mass ejections (CMEs) are considered the most energetic phenomenon in the heliosphere. Originated in the solar corona, they are formed by ejected plasma driven by strong magnetic fields. LÄS MER

  7. 10. Evaluating a LSTM model for bankruptcy prediction with feature selection

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Emma Carlsson; [2023]
    Nyckelord :Feature selection; Bankruptcy prediction; Neural networks; LSTM; Chi-squared; t-test; Stepwise regression; Lasso regression; Random forest;

    Sammanfattning : Bankruptcy prediction is an important research topic. The cost of incorrect decision making in companies and financial institutions can be great and could affect large parts of society. But while it is indeed a major research area, there are few studies which consider the effects of feature selection. LÄS MER