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Showing result 11 - 15 of 25 essays matching the above criteria.

  1. 11. 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

  3. 12. Learning representations of features of fish for performing regression tasks

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

    Author : Kristmundur Jónsson; [2021]
    Keywords : Representation learning; Deep Learning; regression; auto encoder; Variational auto encoder; Representationsinlärning; Djupinlärning; Regression; autoencoder; Variational autoencoder;

    Abstract : In the ever-changing landscape of the fishing industry, demands for automating specific processes are increasing substantially. Predicting future events eliminates much of the existing communication latency between fishing vessels and their customers and makes real-time analysis of onboard catch possible for the fishing industry. READ MORE

  4. 13. Robust Descriptor Learning Using Variational Auto-Encoders

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

    Author : Leonidas Valavanis; [2020]
    Keywords : ;

    Abstract : Image matching is the task of finding points in one image corresponding to the same points in the other image. Classical feature descriptors fail to match points when the images are under extreme viewpoint or seasonal changes. This thesis tackles the problem of image matching when two images are under severe changes. READ MORE

  5. 14. Analysis of Transactional Data with Long Short-Term Memory Recurrent Neural Networks

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

    Author : Sabeen Nawaz; [2020]
    Keywords : LSTM; Auto-encoder decoder; anomaly detection; K-means; clustering; Principal Component Analysis;

    Abstract : An issue authorities and banks face is fraud related to payments and transactions where huge monetary losses occur to a party or where money laundering schemes are carried out. Previous work in the field of machine learning for fraud detection has addressed the issue as a supervised learning problem. READ MORE

  6. 15. Understanding people movement and detecting anomalies using probabilistic generative models

    University essay from KTH/Matematisk statistik

    Author : Agnes Hansson; [2020]
    Keywords : Machine Learning; Unsupervised Learning; Generative Models; Auto-encoders; Gaussian Mixture Models; Maskininlärning; Oövervakad inlärning; generativa modeller; auto-encoders; gaussiska mixtur-modeller;

    Abstract : As intelligent access solutions begin to dominate the world, the statistical learning methods to answer for the behavior of these needs attention, as there is no clear answer to how an algorithm could learn and predict exactly how people move. This project aims at investigating if, with the help of unsupervised learning methods, it is possible to distinguish anomalies from normal events in an access system, and if the most probable choice of cylinder to be unlocked by a user can be calculated. READ MORE