Sökning: "Maskininlärning"

Visar resultat 1 - 5 av 762 uppsatser innehållade ordet Maskininlärning.

  1. 1. Classification of a Sensor Signal Attained By Exposure to a Complex Gas Mixture

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Rabnawaz Jan Sher; [2021]
    Nyckelord :Classification; Random Forest; Linear Discriminant Analysis; Naive Bayes; Principal Component Analysis; Drift; Baseline Compensation; Normalization; Sensor; Signal Preprocessing.;

    Sammanfattning : This thesis is carried out in collaboration with a private company, DANSiC AB This study is an extension of a research work started by DANSiC AB in 2019 to classify a source. This study is about classifying a source into two classes with the sensitivity of one source higher than the other as one source has greater importance. LÄS MER

  2. 2. Association between cognitive measures, global brain surface area, genetics, and screen-time in young adolescents : Estimation of causal inference with machine learning

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Evgenija Kravchenko; [2021]
    Nyckelord :Causal modelling; DirectLiNGAM; PGS; intelligence; screen time; cognitive development; Kausal modellering; DirectLiNGAM; PGS; intelligens; skärmtid; kognitiv utveckling;

    Sammanfattning : Screen media activity such as watching TV and videos, playing video games, and using social media has become a popular leisure activity for children and adolescents. The effect of screen time has been a highly debated topic; however, there is still very little known about it. LÄS MER

  3. 3. Anomalidetektering i loggar med förstärkt inlärning

    Kandidat-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Sofia Lantz; [2021]
    Nyckelord :Maskininlärning; Anomalidetektering; Förstärkt inlärning; Logganalys;

    Sammanfattning : By using machine learning to monitor and find deviations in log data makes it easier for developers and can prevent a workflow from stopping. The goal of this project is to investigate if it is possible to find anomalies in log data using reinforcement learning. LÄS MER

  4. 4. Machine learning methods for seasonal allergic rhinitis studies

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Zijie Feng; [2021]
    Nyckelord :Machine learning; Seasonal allergic rhinitis; Random forest; Partial least squares discriminant analysis; Bootstrap; Cubic smoothing splines; Single-cell RNA sequencing;

    Sammanfattning : Seasonal allergic rhinitis (SAR) is a disease caused by allergens from both environmental and genetic factors. Some researchers have studied the SAR based on traditional genetic methodologies. As technology develops, a new technique called single-cell RNA sequencing (scRNA-seq) is developed, which can generate high-dimension data. LÄS MER

  5. 5. Investigation and forecasting drift component of a gas sensor

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Farhana Chowdhury Tondra; [2021]
    Nyckelord :Time series analysis; Forecasting; ARIMA; LSTM; Sensor; SiC-FET; ADF test; Stochastic Trend; Deterministic Trend; Sensor Drift;

    Sammanfattning : Chemical sensor based systems that are used for detection, identification, or quantification of various gases are very complex in nature. Sensor response data collected as a multivariate time series signals encounters gradual change of the sensor characteristics(known as sensor drift) due to several reasons. LÄS MER