Essays about: "LSTM-Autoencoder"

Showing result 1 - 5 of 14 essays containing the word LSTM-Autoencoder.

1. 1. Detection of software incidents from large log material with the use of unsupervised machine learning

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : DIMITRIOS ANASTASIADIS; JAKUB LENART; [2022-06-20]
   Keywords : binary classification; log; anomaly detection; machine learning; Local Outlier Factor; Isolation Forest; PCA; LSTM-Autoencoder;

   Abstract : Computer systems generate log files, which contain information on the various operations performed by these systems. This information can support the process of error/failure detection and debugging. Therefore, anomalies can be spotted in the system through its produced log material. READ MORE

3. 2. Federated Learning with FEDn for Financial Market Surveillance

   University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

   Author : Isak Voltaire Edoh; [2022]
   Keywords : machine learning; federated learning; privacy; market surveillance; financial markets; fraud detection; spoofing; market abuse; market manipulation; LSTM; FEDn;

   Abstract : Machine Learning (ML) is the current trend that most industries opt for to improve their business and operations. ML has also been adopted in the financial markets, where well-funded financial institutions employ the latest ML algorithms to gain an advantage on the market. READ MORE

4. 3. Sensor modelling for anomaly detection in time series data

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : ZAHRA JALIL POUR; [2022]
   Keywords : anomaly detection; LSTM; Autoencoder; multivariate time series data;

   Abstract : Mechanical devices in industriy are equipped with numerous sensors to capture thehealth state of the machines. The reliability of the machine’s health system depends on thequality of sensor data. In order to predict the health state of sensors, abnormal behaviourof sensors must be detected to avoid unnecessary cost. READ MORE

5. 4. Federated Learning for Market Surveillance

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

   Author : Philip Song; [2022]
   Keywords : Federated Learning; Machine Learning; Market Surveillance; Anomaly Detection; LSTMAutoencoder; Federated Learning; Maskininlärning; Marknadsövervakning; Anomaliupptäckande; LSTMAutoencoder;

   Abstract : The increasing complexity of trading strategies, when combined with machine learning models, forces market surveillance corporations to develop increasingly sophisticated methods for recognizing potential misuse. One strategy is to employ traders’ weapons against themselves, namely machine learning. READ MORE

6. 5. 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