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Visar resultat 1 - 5 av 13 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Institutions, Inequality and Societal Transformations

   Författare :Sara Moricz; Nationalekonomiska institutionen; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Gender Norms; Metoo; Sweden; LSTM Neural Network; Asia; Indonesia; Democracy; Elections; Economic Growth; Income Inequality; Economic Development;

   Sammanfattning : Institutions matter for economic development. This thesis consists of three self-contained articles which provide different contributions to institutional economics.The first article studies short-run changes in gender norms. It takes advantage of recent developments in machine learning algorithms to study changes in norms in Swedish tweets. LÄS MER

3. 2. Applications of artificial neural networks for time series data analysis in energy domain

   Författare :Fan Zhang; Hasan Fleyeh; Stawomir Nowaczyk; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Deregulated energy market; electricity prices; district heating; energy efficiency; neural networks; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

   Sammanfattning : With the development of artificial intelligence techniques and increased installation of smart meters in recent years, time series analysis using historical data in the energy domain becomes applicable. In this thesis, microdata analysis approaches are used, which consist of data acquisition, data processing, data analysis and data modelling, aiming to address two research problems in the energy domain. LÄS MER

4. 3. Drill Failure Detection based on Sound using Artificial Intelligence

   Författare :Thanh Tran; Jan Thim; Sebastian Bader; Kalle Åström; Mittuniversitetet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Convolutional neural network; machine failure detection; Mel-spectrogram; long short-term memory; sound signal processing;

   Sammanfattning : In industry, it is crucial to be able to detect damage or abnormal behavior in machines. A machine's downtime can be minimized by detecting and repairing faulty components of the machine as early as possible. It is, however, economically inefficient and labor-intensive to detect machine fault sounds manual. LÄS MER

5. 4. Modern developments in insurance: IFRS 17 and LSTM forecasting

   Författare :Lina Palmborg; Filip Lindskog; Mathias Lindholm; Pietro Millossovich; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mathematical Statistics; matematisk statistik;

   Sammanfattning : The papers presented here cover two different themes, both with applications in life insurance. The focus in the first paper is on determining the financial position and performance of an insurance company, in a accordance with IFRS 17. LÄS MER

7. 5. Machine learning for building energy system analysis

   Författare :Fan Zhang; Johan Håkansson; Chris Bales; Stefan Byttner; Högskolan Dalarna; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; district heating; machine learning; deep learning; HVAC; neural networks;

   Sammanfattning : Buildings account for approximately 40% of the global energy, and Heating, Ventilation, and Air Conditioning (HVAC) contributes to a large proportion of building energy consumption. Two main negative characteristics that contribute to performance degradation and energy waste in an HVAC system are inappropriate control strategies and faults. LÄS MER