Essays about: "LSTM AutoEncoder"

Showing result 1 - 5 of 19 essays containing the words LSTM AutoEncoder.

  1. 1. Training Autoencoders for feature extraction of EEG signals for motor imagery

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Casper Wahl; [2021]
    Keywords : ;

    Abstract : Electroencephalography (EEG) is a common technique used to read brain activity from an individual, and can be used for a wide range of applications, one example is during the rehab process of stroke victims. Loss of motor function is a common side effect of strokes, and the EEG signals can show if sufficient activation of the part of the brain related to the motor function that the patient is training has been achieved. READ MORE

  2. 2. 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. 3. 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. 4. 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. 5. 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