Sökning: "Abnormality Detection"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Abnormality Detection.

  1. 1. Finding Anomalous Energy ConsumersUsing Time Series Clustering in the Swedish Energy Market

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Lukas Tonneman; [2023]
    Nyckelord :time-series analysis; clustering; electricity consumer clustering; anomaly detection; gaussian mixture model; hierarchical clustering;

    Sammanfattning : Improving the energy efficiency of buildings is important for many reasons. There is a large body of data detailing the hourly energy consumption of buildings. This work studies a large data set from the Swedish energy market. LÄS MER

  3. 2. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Dorsa Mohammad; [2023]
    Nyckelord :Artificial Intelligence AI ; Machine Learning ML ; Spiking Neural Network SNN ; Artificial Neural Networks; Healthcare devices; Electrocardiogram ECG ; Neuromorphic computing.; Technology and Engineering;

    Sammanfattning : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. LÄS MER

  4. 3. Abnormality detection in diagnostics data from network cameras

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :André Hedesand; Oliver Dageson; [2021]
    Nyckelord :machine learning; change detection; anomaly detection; data synthesis; forecasting; gradient boost; Mathematics and Statistics;

    Sammanfattning : For data-driven companies, there is a need to efficiently navigate through big quantities of collected data. In our case; detecting changes in the behaviour of data. We have investigated whether machine learning could be applied to automate the process of finding abnormal behaviour (anomalies) in collected data. LÄS MER

  5. 4. Bypass Surgery for Lower Extremity Artery Disease: Quality Assessment of Outcome, Ultrasound Surveillance,and Follow-up

    Master-uppsats, Örebro universitet/Institutionen för medicinska vetenskaper

    Författare :Veera Rönkkö; [2021]
    Nyckelord :Lower extremity arterial disease – Revascularisation – Lower extremity bypass – Duplex ultrasound surveillance – Graft failure;

    Sammanfattning : Introduction Bypass surgery for infrainguinal disease is indicated when a patient presents with chronic (disabling claudication or chronic limb-threatening ischaemia) or acute ischemia. Duplex ultrasound surveillance can be used in the follow-up period to detect grafts in risk of failure. LÄS MER

  7. 5. Machine Learning for Automation of Chromosome based Genetic Diagnostics

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

    Författare :Gongchang Chu; [2020]
    Nyckelord :Genetic Diagnostics; Abnormality Detection; Transfer Learning; Deep Learning; Uncertainty Estimation; Genetisk diagnos; onormal detektion; överföringsinlärning; djupinlärning; osäkerhetsuppskattning;

    Sammanfattning : Chromosome based genetic diagnostics, the detection of specific chromosomes, plays an increasingly important role in medicine as the molecular basis of hu- man disease is defined. The current diagnostic process is performed mainly by karyotyping specialists. LÄS MER