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Showing result 6 - 10 of 25 essays matching the above criteria.

  1. 6. Cooperative security log analysis using machine learning : Analyzing different approaches to log featurization and classification

    University essay from Linköpings universitet/Databas och informationsteknik

    Author : Fredrik Malmfors; [2022]
    Keywords : Machine learning; word embeddings; deep learning; LSTM; CNN; auto encoder; NLP; natural language processing; intrusion detection; log analysis; logs; log classification; anomaly detection; supervised learning; unsupervised learning;

    Abstract : This thesis evaluates the performance of different machine learning approaches to log classification based on a dataset derived from simulating intrusive behavior towards an enterprise web application. The first experiment consists of performing attacks towards the web app in correlation with the logs to create a labeled dataset. READ MORE

  3. 7. Unsupervised Anomaly Detection for Humidity Sensor Data

    University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Author : Pinyapat Manasboonpermpool; Dirk Willeboord Baars; [2022]
    Keywords : LSTM; Auto-Encoder; Anomaly Detection; Time series; Deep Learning; Business and Economics;

    Abstract : Detecting anomalies in loT sensor devices for humidity is crucial for the maintenance and safety of households and buildings. An Auto-Encoder (AE) can detect anomalies in sensor data. However, the reality is that most sensor data is unlabelled, while it is recommended to use labelled data when training the model for anomaly detection with AE. READ MORE

  4. 8. Coronary Artery Plaque Segmentation with CTA Images Based on Deep Learning

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Zhang Shuli; [2022]
    Keywords : Coronary Plaque Segmentation; CTA image; nnU-Net; FCDD; Anomaly Detection; Koronarplacksegmentering; CTA-bild; nnU-Net; FCDD; Anomalidetektering;

    Abstract : Atherosclerotic plaque is currently the leading cause of coronary artery disease (CAD). With the help of CT images, we can identify the size and type of plaque, which can help doctors make a correct diagnosis. To do this, we need to segment coronary plaques from CT images. READ MORE

  5. 9. 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

  6. 10. A Machine Learning Approach for Comprehending Cosmic Expansion

    University essay from KTH/Fysik

    Author : Ludvig Doeser; [2021]
    Keywords : Cosmology; Cosmic expansion; Galaxy Images; Machine learning; Kosmologi; kosmisk expansion; galaxbilder; maskininlärning;

    Abstract : This thesis aims at using novel machine learning techniques to test the dynamics of the Universe via the cosmological redshift-distance test. Currently, one of the most outstanding questions in cosmology is the physical cause of the accelerating cosmic expansion observed with supernovae. READ MORE