Essays about: "LSTM AutoEncoder"

Showing result 11 - 15 of 29 essays containing the words LSTM AutoEncoder.

1. 11. Investigation of Machine Learning Methods for Anomaly Detection and Characterisation of Cable Shoe Pressing Processes

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Elliot Härenby Deak; [2021]
   Keywords : Machine Learning; LSTM; kNN; Time-series Classification; Anomaly Detection;

   Abstract : The ability to reliably connect electrical cables is important in many applications. A poor connection can become a fire hazard, so it is important that cables are always appropriately connected. This thesis investigates methods for monitoring of a machine that presses cable connectors onto cables. READ MORE

3. 12. Anomaly Detection on Satellite Time-Series

   University essay from

   Author : Moa Tennberg; Lovisa Ekeroot; [2021]
   Keywords : Anomaly Detection; Time-Series; Satellites; Autoencoder; Convolutional Neural Network; Long Short-Term Memory Neural Network;

   Abstract : In this thesis, anomalies are defined as data points whose value differs significantly from the normal pattern of the data set. Anomalousobservations on time series measured on satellites has a growing need of being detected directly on board the space-orbit systems to for example prevent malfunction and have efficient data management. READ MORE

4. 13. Outlier detection with ensembled LSTM auto-encoders on PCA transformed financial data

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

   Author : Love Stark; [2021]
   Keywords : Long Short-Term Memory Recurrent Neural Networks LSTM ; Ensemble learning; Auto-Encoder; anomaly detection; financial data; deep learning; Principal Component Analysis PCA ; Long Short-Term Memory Recurrent Neural Networks LSTM ; Ensemble lärande; Auto-Encoder; avvikelse detektering; finansiell data; djupinlärning; Principal Component Analysis PCA ;

   Abstract : Financial institutions today generate a large amount of data, data that can contain interesting information to investigate to further the economic growth of said institution. There exists an interest in analyzing these points of information, especially if they are anomalous from the normal day-to-day work. READ MORE

5. 14. Neural Ordinary Differential Equations for Anomaly Detection

   University essay from KTH/Matematisk statistik

   Author : Jón Hlöðver Friðriksson; Erik Ågren; [2021]
   Keywords : Anomaly detection; Neural ordinary differential equations; Statistical modelling; Autoregression; Variational autoencoder; Multivariate time series; Anomalidetektion; Neurala ordinära differentialekvationer; Statistisk modellering; Autoregression; Variational autoencoder; Multivariat tidsserie;

   Abstract : Today, a large amount of time series data is being produced from a variety of different devices such as smart speakers, cell phones and vehicles. This data can be used to make inferences and predictions. Neural network based methods are among one of the most popular ways to model time series data. READ MORE

6. 15. Knowledge Transfer Applied on an Anomaly Detection Problem Using Financial Data

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Filip Natvig; [2021]
   Keywords : Machine learning; Deep learning; Artificial intelligence; AI; Neural networks; Anomaly detection; Transfer learning; Knowledge transfer; LSTM Autoencoder;

   Abstract : Anomaly detection in high-dimensional financial transaction data is challenging and resource-intensive, particularly when the dataset is unlabeled. Sometimes, one can alleviate the computational cost and improve the results by utilizing a pre-trained model, provided that the features learned from the pre-training are useful for learning the second task. READ MORE