Essays about: "LSTM AutoEncoder"

Showing result 16 - 20 of 29 essays containing the words LSTM AutoEncoder.

1. 16. Machine Learning to Detect Anomalies in the Welding Process to Support Additive Manufacturing

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Vinod Kumar Dasari; [2021]
   Keywords : Autoencoders; Defect detection; Anomaly detection; Additive manufacturing; Welding defect detection;

   Abstract : Additive Manufacturing (AM) is a fast-growing technology in manufacturing industries. Applications of AM are spread across a wide range of fields. The aerospace industry is one of the industries that use AM because of its ability to produce light-weighted components and design freedom. READ MORE

3. 17. Automated error matching system using machine learning and data clustering : Evaluating unsupervised learning methods for categorizing error types, capturing bugs, and detecting outliers.

   University essay from Linköpings universitet/Programvara och system

   Author : Jonatan Bjurenfalk; August Johnson; [2021]
   Keywords : Unsupervised learning; machine learning; clustering; DBSCAN; HDBSCAN; X-Means; outlier detection; error log clustering;

   Abstract : For large and complex software systems, it is a time-consuming process to manually inspect error logs produced from the test suites of such systems. Whether it is for identifyingabnormal faults, or finding bugs; it is a process that limits development progress, and requires experience. READ MORE

4. 18. Anomaly Detection on Gas Turbine Time-series’ Data Using Deep LSTM-Autoencoder

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Marzieh Farahani; [2021]
   Keywords : ;

   Abstract : Anomaly detection with the aim of identifying outliers plays a very important role in various applications (e.g., online spam, manufacturing, finance etc.). READ MORE

5. 19. Compressed Machine Learning on Time Series Data

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

   Author : Felix Finger; Nathalie Gocht; [2020-07-08]
   Keywords : time series clustering; large scale data; machine learning; prediction; anomaly detection; compression;

   Abstract : The extent of time related data across many fields has led to substantial interest in the analysis of time series. This interest meets growing challenges to store and process data. While the data is collected at an exponential rate, advancements in processing units are slowing down. READ MORE

6. 20. A contemporary machine learning approach to detect transportation mode - A case study of Borlänge, Sweden

   University essay from Högskolan Dalarna/Mikrodataanalys

   Author : Arman Golshan; [2020]
   Keywords : GPS data; Semi-supervised learning; Transport mode detection; LSTM Autoencoder; Deep Neural Network;

   Abstract : Understanding travel behavior and identifying the mode of transportation are essential for adequate urban devising and transportation planning. Global positioning systems (GPS) tracking data is mainly used to find human mobility patterns in cities. READ MORE