Essays about: "Time Series Imputation"
Showing result 1 - 5 of 9 essays containing the words Time Series Imputation.
-
1. 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
-
2. Predicting Chronic Kidney Disease using a multimodal Machine Learning approach
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Chronic Kidney Disease (CKD) is a common and dangerous health condition that requires early detection and treatment to be effective. Current diagnostic methods are time-consuming and expensive. In this research, we hope to construct a predictive model for CKD utilizing a combination of time series and static variables for early detection of CKD. READ MORE
-
3. Super-Resolution Vehicle Trajectory using Recurrent Time Series Imputation
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Vehicle data finds its use in a variety of applications in the fields of machine learning and data analysis. The volume of available data is limited by the frequency of data collection, and for several reasons, it can be infeasible to simply amplify this frequency. READ MORE
-
4. Geospatial Timeseries Imputation using Deep Neural Networks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : With the advancement of technology, data collection has become a big part of many industries.Large amounts of data can be used for analytics purposes, and give companies the opportunityto offer a wider range of services to their customers. READ MORE
-
5. Imputing connections of random gene networks from time series data using ANNs
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : This thesis presents the architecture of a convolutional neural network which is trained to impute the connections of randomly generated gene regulatory networks under varying amounts of regularisation. The generated gene networks are simulated from 10 different starting conditions for each set of connections in order to obtain multiple time series. READ MORE
