Sökning: "anomaly-detection algorithm"

Visar resultat 21 - 25 av 72 uppsatser innehållade orden anomaly-detection algorithm.

  1. 21. Investigation of Machine Learning Methods for Anomaly Detection and Characterisation of Cable Shoe Pressing Processes

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Elliot Härenby Deak; [2021]
    Nyckelord :Machine Learning; LSTM; kNN; Time-series Classification; Anomaly Detection;

    Sammanfattning : The ability to reliably connect electrical cables is important in many applications. A poor connection can become a fire hazard, so it is important that cables are always appropriately connected. This thesis investigates methods for monitoring of a machine that presses cable connectors onto cables. LÄS MER

  3. 22. Water Anomaly Detection Using Federated Machine Learning

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Melker Wallén; Mauricio Böckin; [2021]
    Nyckelord :Federated learning; neural network; anomaly detection; water monitoring; long short-term memory;

    Sammanfattning : With the rapid increase of Internet of Things-devices(IoT), demand for new machine learning algorithms and modelshas risen. The focus of this project is implementing a federatedlearning (FL) algorithm to detect anomalies in measurementsmade by a water monitoring IoT-sensor. LÄS MER

  4. 23. Unsupervised anomaly detection for structured data - Finding similarities between retail products

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Jonas Fockstedt; Ema Krcic; [2021]
    Nyckelord :relational data; similarity analysis; data analysis; SQL; NetworkX; graph theory; anomaly detection; unsupervised; retail products; real-world data; AWS; amazon web services; similarity learning; data statistics; data preprocessing; similarity analysis algorithm; data validation;

    Sammanfattning : Data is one of the most contributing factors for modern business operations. Having bad data could therefore lead to tremendous losses, both financially and for customer experience. LÄS MER

  5. 24. VePMAD: A Vehicular Platoon Management Anomaly Detection System : A Case Study of Car-following Mode, Middle Join and Exit Maneuvers

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Weaam Bayaa; [2021]
    Nyckelord :MDS; GMMHMM; PMP; Machine Learning; Bayesian information Criterion BIC ; Platoon Behavior Recognition; MDS; GMMHMM; PMP; Maskininlärnings; BIC; Plutonbeteendeigenkänning;

    Sammanfattning : Vehicle communication using sensors and wireless channels plays an important role to allow exchanging information. Adding more components to allow exchanging more information with infrastructure enhanced the capabilities of vehicles and enabled the rise of Cooperative Intelligent Transport Systems (C-ITS). LÄS MER

  7. 25. Anomaly detection in Network data with unsupervised learning methods

    Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :George Sarossy; [2021]
    Nyckelord :;

    Sammanfattning : Anomaly detection has become a crucial part of the protection of information and integrity. Due to the increase of cyber threats the demand for anomaly detection has grown for companies. Anomaly detection on time series data aims to detect unexpected behavior on the system. LÄS MER