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Showing result 1 - 5 of 123 essays matching the above criteria.
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1. Deep Neural Networks as SurrogateModels for Fuel Performance Codes
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE
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2. The tangled Warp of the Milky Way
University essay from Lunds universitet/Astrofysik; Lunds universitet/Fysiska institutionenAbstract : Context: The Milky Way disc, like the discs of many other spiral galaxies, has been shown to be warped. The growing astrometric data set for stars produced by the Gaia mission allows for more detailed studies of the stellar disc's warp. READ MORE
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3. The industry adoption of innovative safety-analysis approaches for autonomous vehicles : A case study exploring the industry adoption of model-based safety analysis
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In recent years, autonomous vehicles have been gaining traction as a technology that can revolutionize society and save approximately $800 billion per year in the U.S. alone. However, due to their complex and dynamic behavior, ensuring the safety of these vehicles has proven to be a challenge for traditional safety analysis methods. READ MORE
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4. Utilizing Neural Networks To Adaptively Demodulate And Decode Signals In An Impulsive Environment
University essay from Uppsala universitet/Avdelningen för datalogiAbstract : Electromagnetic disturbance can be detrimental to the performance of a radio communication system, and in today’s society where more and more electronic devices are present in our everyday life it is increasingly vital to consider man-made interference. A communication system can take into consideration the noise characteristics and by doing so will excel in such areas, however, this follows that the algorithms utilized in such systems are more computationally complex and are therefore slow. READ MORE
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5. Forecasting post COVID-19 : How to improve forecasting models’ performance when training data has been aected by exceptional events like COVID-19 pandemic?
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Almost every company around the world were aected by the COVID-19 crisis and the government measures that were taken to slow the spread of the virus. The impact the crisis had on the economy caused the appearance of anomalies in the data collected by companies : such as abnormal trend, seasonality etc. READ MORE
