Sökning: "time series classification"

Visar resultat 11 - 15 av 136 uppsatser innehållade orden time series classification.

  1. 11. Machine learning for detecting financial crime from transactional behaviour

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Markus Englund; [2023]
    Nyckelord :machine learning; deep learning; financial crime; time series; time series classification; XGBoost; maskininlärning; djupinlärning; finansiell brottslighet; tidsserier; klassificering av tidsserier; XGBoost;

    Sammanfattning : Banks and other financial institutions are to a certain extent obligated to ensure that their services are not utilized for any type of financial crime. This thesis investigates the possibility of analyzing bank customers' transactional behaviour with machine learning to detect if they are involved in financial crime. LÄS MER

  3. 12. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Samaneh Shahrokhi; [2023]
    Nyckelord :supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

    Sammanfattning : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. LÄS MER

  4. 13. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET

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

    Författare :Stefan Christiansson; [2023]
    Nyckelord :MiniROCKET; Time-series analysis; Multi-variate; Classification; Convolutional Neural Network; MiniROCKET; Tidsserieanalys; Multivariat; Klassifikation; Convolutional Neural Network;

    Sammanfattning : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. LÄS MER

  5. 14. Predicting Chronic Kidney Disease using a multimodal Machine Learning approach

    Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Aakruti Mishra; Navaneeth Puthiyandi; [2023]
    Nyckelord :Chronic kidney disease; Multimodal approach; ROCKET; Random Forest; XGBoost; MIMIC-III database; Data imbalance; Temporal and static modalities; Soft voting;

    Sammanfattning : Chronic Kidney Disease (CKD) is a common and dangerous health condition that requires early detection and treatment to be effective. Current diagnostic methods are time-consuming and expensive. In this research, we hope to construct a predictive model for CKD utilizing a combination of time series and static variables for early detection of CKD. LÄS MER

  7. 15. Time Series Analysis and Binary Classification in a Car-Sharing Service : Application of data-driven methods for analysing trends, seasonality, residuals and prediction of user demand

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

    Författare :Aksel Uhr; [2023]
    Nyckelord :Smart mobility; Car-sharing; Time series analysis; Demand prediction; Machine learning; Supervised learning; Binary classification; Random forest; Smart mobilitet; Bildelning; Tidsseriaanalys; Efterfrågansprediktering; Maskininlärning; Väglett lärande; Binär klassificering; Slumpmässiga skogar;

    Sammanfattning : Researchers have estimated a 20-percentage point increase in the world’s population residing in urban areas between 2011 and 2050. The increase in denser cities results in opportunities and challenges. Two of the challenges concern sustainability and mobility. LÄS MER