Essays about: "Avvikelsedetektion"

Showing result 1 - 5 of 7 essays containing the word Avvikelsedetektion.

  1. 1. Anomaly Detection on Embedded Sensor Processing Platform

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

    Author : Yichen Cao; [2021]
    Keywords : Anomaly Detection; ARIMA; STL; LSTM; VAR; Avvikelsedetektion; ARIMA; STL; LSTM; VAR;

    Abstract : Embedded platforms are often used as a sensor data processing node to collect data and transmit the data to the remote server. Due to the poor performance and power limitation, data processing was often left to the remote server. READ MORE

  2. 2. Anomaly-based intrusion detection using Tree Augmented Naive Bayes Classifier

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

    Author : Philip Wester; [2021]
    Keywords : Intrusion detection; Anomaly detection; Tree Augmented Naive Bayes; Machine learning; Network based intrusion detection.; Intrångsdetektion; Avvikelsedetektion; Tree Augmented Naive Bayes; Maskininlärning; Nätverksbaserad intrångsdetektion;

    Abstract : With the rise of information technology and the dependence on these systems, it becomes increasingly more important to keep the systems secure. The possibility to detect an intrusion with intrusion detection systems (IDS) is one of multiple fundamental technologies that may increase the security of a system. READ MORE

  3. 3. Automated advanced analytics on vehicle data using AI

    University essay from KTH/Fordonsdynamik

    Author : Simin Zhang; [2020]
    Keywords : Anomaly detection; Machine learning; Controller Area Network; User function level failure; Avvikelsedetektion; Maskininlärning; Controller Area Network; Fel på användarfunktionsnivå;

    Abstract : The evolution of electrification and autonomous driving on automotive leads to the increasing complexity of the in-vehicle electrical network, which poses a new challenge for testers to do troubleshooting work in massive log files. This thesis project aims to develop a predictive technique for anomaly detection focusing on user function level failures using machine learning technologies. READ MORE

  4. 4. Anomaly Detection and Revenue Loss Estimation in Accounting Data

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

    Author : Gustav Edholm; [2020]
    Keywords : Machine Learning; Anomaly Detection; Regression; Neural Network; Invoice; Revenue Loss; Maskininlärning; Avvikelsedetektion; Regression; Neuralnät; Faktura; Omsättningsförlust;

    Abstract : Loss of revenue due to erroneous invoicing is a serious problem for many companies in the repair and maintenance industry. Revenue loss can occur in many ways, for example by consistently charging the wrong hourly price for services. READ MORE

  5. 5. Unsupervised anomaly detection in time series with recurrent neural networks

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

    Author : Josef Haddad; Carl Piehl; [2019]
    Keywords : ;

    Abstract : Artificial neural networks (ANN) have been successfully applied to a wide range of problems. However, most of the ANN-based models do not attempt to model the brain in detail, but there are still some models that do. An example of a biologically constrained ANN is Hierarchical Temporal Memory (HTM). READ MORE