Essays about: "Anomaly detection"

Showing result 1 - 5 of 132 essays containing the words Anomaly detection.

  1. 1. Compressed Machine Learning on Time Series Data

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Felix Finger; Nathalie Gocht; [2020-07-08]
    Keywords : time series clustering; large scale data; machine learning; prediction; anomaly detection; compression;

    Abstract : The extent of time related data across many fields has led to substantial interestin the analysis of time series. This interest meets growing challenges to store andprocess data. While the data is collected at an exponential rate, advancements inprocessing units are slowing down. READ MORE

  2. 2. Data Driven Anomaly Control Detection for Railway Propulsion Control Systems

    University essay from Mälardalens högskola/Inbyggda system; Mälardalens högskola/Inbyggda system

    Author : Dzenita Skulj; Ajna Hodzic; [2020]
    Keywords : ;

    Abstract : The popularity of railway transportation has been on the rise over the past decades, as it has been able to provide safe, reliable, and highly available service. The main challenge within this domain is to reduce the costs of preventive maintenance and improve operational efficiency. READ MORE

  3. 3. Deep Learning for Anomaly Detection in Microwave Links : Challenges and Impact on Weather Classification

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

    Author : Olof Engström; [2020]
    Keywords : Anomaly Detection; Time Series; Forecasting; Weather Classification; Microwave Link; CNN; LSTM; Avvikelsedetektering; Tidsserier; Prognostisering; Väderklassificering; Mikrovågslänkar; faltningsnätverk; CNN; LSTM;

    Abstract : Artificial intelligence is receiving a great deal of attention in various fields of science and engineering due to its promising applications. In today’s society, weather classification models with high accuracy are of utmost importance. READ MORE

  4. 4. Applying Machine Learning Algorithms for Anomaly Detection in Electricity Data : Improving the Energy Efficiency of Residential Buildings

    University essay from Uppsala universitet/Byggteknik och byggd miljö; Uppsala universitet/Byggteknik och byggd miljö

    Author : Herman Guss; Linus Rustas; [2020]
    Keywords : Machine learning; anomaly detection; K-means; Gaussian process regression;

    Abstract : The purpose of this thesis is to investigate how data from a residential property owner can be utilized to enable better energy management for their building stock. Specifically, this is done through the development of two machine learning models with the objective of detecting anomalies in the existing data of electricity consumption. READ MORE

  5. 5. Detecting Non-Natural Objects in a Natural Environment using Generative Adversarial Networks with Stereo Data

    University essay from Linköpings universitet/Datorseende; Linköpings universitet/Datorseende

    Author : Nils Gehlin; Martin Antonsson; [2020]
    Keywords : deep learning; anomaly detection; GAN; BergGAN; pGAN; stereo; non-natural objects; natural environment; multi-modal anomaly detection;

    Abstract : This thesis investigates the use of Generative Adversarial Networks (GANs) for detecting images containing non-natural objects in natural environments and if the introduction of stereo data can improve the performance. The state-of-the-art GAN-based anomaly detection method presented by A. Berget al. in [5] (BergGAN) was the base of this thesis. READ MORE