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Showing result 1 - 5 of 90 essays matching the above criteria.
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1. Surface Runoff on Green Urban Areas : A study on driving forces behind surface runoff generaiton
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : Recent flooding events, such as the one in Germany 2021 have caused irreversible damages to infrastructure and lives. The aftermath of events like these have underlined the importance of an accurate risk management by predicting them in urban areas. READ MORE
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2. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis
University essay from KTH/Matematik (Avd.)Abstract : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. READ MORE
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3. DRONAR: Obstacle echolocation using ego-noise
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : You do not want your drone to crash. Therefore, safety systems should be put in place to prevent such an event, and obstacle avoidance is a major part of this. Today, the most successful techniques use cameras or light detection and ranging (LIDAR) to find and avoid obstacles; but to improve resiliency, multiple systems should be used. READ MORE
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4. The granddaddy of underreaction events: Post-earnings announcement drift and information noisiness on the Swedish market
University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringAbstract : This paper aims to answer the question of whether there is an existence of post-earnings announcement drift on the Swedish stock market and to what extent it can be explained by information noisiness. A sample of publicly listed firms on the Swedish stock market from 2002 to 2019 is used and the research design includes four different approaches to estimating earnings surprises which is a crucial step in investigating PEAD. 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