Essays about: "Anomaly detection"

Showing result 1 - 5 of 225 essays containing the words Anomaly detection.

  1. 1. Insurance Fraud Detection using Unsupervised Sequential Anomaly Detection

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Anton Hansson; Hugo Cedervall; [2022]
    Keywords : Insurance Fraud Detection; Anomaly Detection; Long Short-Term Memory Networks LSTM ; Unsupervised Learning; Autoencoder AE ; Variational Autoencoder VAE ; Interpretable Machine Learning; Feature Engineering; Feature Selection; Feature Importance;

    Abstract : Fraud is a common crime within the insurance industry, and insurance companies want to quickly identify fraudulent claimants as they often result in higher premiums for honest customers. Due to the digital transformation where the sheer volume and complexity of available data has grown, manual fraud detection is no longer suitable. READ MORE

  2. 2. Predictive Maintenance of Induction Motors using Deep Learning : Anomaly Detection using an Autoencoder Neural Network and Fault Classification using a Convolutional Neural Network

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

    Author : Diego Andres Moreno Salinas; [2022]
    Keywords : Predictive maintenance; Fault Diagnosis; Anomaly Detection; Deep Learning; Machine Learning; Induction Motors; Prediktivt underhåll; feldiagnostik; upptäckt av avvikelser; djup inlärning; maskininlärning; induktionsmotorer;

    Abstract : With the fast evolution of the Industry 4.0, the increased use of sensors and the rapid development of the Internet of Things (IoT), and the adoption of artificial intelligence methods, smart factories can automate their processes to vastly improve their efficiency and production quality. READ MORE

  3. 3. 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

  4. 4. Sequential Anomaly Detection for Log Data Using Deep Learning

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Lina Hammargren; Wei Wu; [2021-06-14]
    Keywords : anomaly detection; recurrent neural network; long short-term memory; semi-supervised learning; seq2seq; transformer; unsupervised learning; log analysis;

    Abstract : Abstract Software development with continuous integration changes needs frequent testing for assessment. Analyzing the test output manually is time-consuming and automating this process could be beneficial to an organization. READ MORE

  5. 5. Anomaly detection in 5G beam propagation

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Katarina Hellgren; Phiphi Tran; [2021]
    Keywords : Machine learning; wireless communication; 5G; beam propagation; DBSCAN; KNN; anomaly detection; clustering; Technology and Engineering;

    Abstract : Advancements in today's technology has motivated invention of faster mobile communication systems. The fifth generation mobile network, 5G, is the latest version made by the third generation partnership project (3GPP) and expects to both increase connection speed and reduce latency, which eventually will make it applicable in supporting state-of-the art technologies such as virtual reality and self-driving vehicles among others. READ MORE