Essays about: "time series processing"
Showing result 16 - 20 of 123 essays containing the words time series processing.
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16. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). READ MORE
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17. 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
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18. Structure from Motion with a Neural Network
University essay from Lunds universitet/Matematik LTHAbstract : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. READ MORE
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19. Machine learning for detecting financial crime from transactional behaviour
University essay from Uppsala universitet/Signaler och systemAbstract : Banks and other financial institutions are to a certain extent obligated to ensure that their services are not utilized for any type of financial crime. This thesis investigates the possibility of analyzing bank customers' transactional behaviour with machine learning to detect if they are involved in financial crime. READ MORE
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20. Highway Traffic Forecasting with the Diffusion Model : An Image-Generation Based Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Forecasting of highway traffic is a common practice for real traffic information system, and is of vital importance to traffic management and control on highways. As a typical time-series forecasting task, we want to propose a deep learning model to map the historical sensory traffic values (e.g., speed, flow) to future traffic forecasts. READ MORE
