Essays about: "gated recurrent unit"

Showing result 26 - 30 of 44 essays containing the words gated recurrent unit.

1. 26. Using deep learning time series forecasting to predict dropout in childhood obesity treatment

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jacob Schoerner; [2021]
   Keywords : electronic health record; time-series; dropout prediction; artificial neural networks; gated recurrent unit; electronic health record; tidsserieförutsägelser; deltagandebortfall; artificiella neurala nätverk; gated recurrent unit;

   Abstract : The author investigates the performance of a time series based approach in predicting the risk of patients abandoning treatment in a treatment program for childhood obesity. The time series based approach is compared and contrasted to an approach based on static features (which has been applied in similar problems). READ MORE

3. 27. Machinery Health Indicator Construction using Multi-objective Genetic Algorithm Optimization of a Feed-forward Neural Network based on Distance

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jacob Nyman; [2021]
   Keywords : Prognostics; Health Indicator Construction; Remaining Useful Life Prediction; Multi-objective Optimization; Distance; Prognostik; Hälsoindikatorkonstruktion; Återstående Livslängd; Multiobjektiv Optimering; Avstånd;

   Abstract : Assessment of machine health and prediction of future failures are critical for maintenance decisions. Many of the existing methods use unsupervised techniques to construct health indicators by measuring the disparity between the current state and either the healthy or the faulty states of the system. READ MORE

4. 28. A Deep Learning Approach to Predicting the Length of Stay of Newborns in the Neonatal Intensive Care Unit

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Bas Theodoor Straathof; [2020]
   Keywords : Deep Neural Networks; Electronic Health Records; Length-of-Stay Prediction; Multivariate Time Series Classification; Djupa Neurala Nätverk; Elektroniska Hälsoregister; Klassificering av Multivariat Tidsserie; Förutsägelse av Vistelsetid;

   Abstract : Recent advancements in machine learning and the widespread adoption of electronic healthrecords have enabled breakthroughs for several predictive modelling tasks in health care. One such task that has seen considerable improvements brought by deep neural networks is length of stay (LOS) prediction, in which research has mainly focused on adult patients in the intensive care unit. READ MORE

5. 29. Churn prediction using time series data

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Patrick Granberg; [2020]
   Keywords : churn time prediction; classification; lstm; gru; rf; svm;

   Abstract : Customer churn is problematic for any business trying to expand their customer base. The acquisition of new customers to replace churned ones are associated with additional costs, whereas taking measures to retain existing customers may prove more cost efficient. READ MORE

6. 30. Long Term Forecasting of Industrial Electricity Consumption Data With GRU, LSTM and Multiple Linear Regression

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Roxana Buzatoiu; [2020]
   Keywords : Time Series Analysis; Recurrent Neural Networks; long-term Forecasting; Exploratory Data Analysis; Multiple Linear Regression; ACF; PACF; Energy Sector; Tidsserieanalys; återkommande neurala nätverk; långtidsprognoser; undersökande dataanalys; multipel linjär regression; ACF; PACF; energisektor;

   Abstract : Accurate long-term energy consumption forecasting of industrial entities is of interest to distribution companies as it can potentially help reduce their churn and offer support in decision making when hedging. This thesis work presents different methods to forecast the energy consumption for industrial entities over a long time prediction horizon of 1 year. READ MORE