Essays about: "datauppsättningar"

Showing result 1 - 5 of 57 essays containing the word datauppsättningar.

  1. 1. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches

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

    Author : Chenzhou Huang; [2023]
    Keywords : Transfer Learning; Condition Monitoring; Domain Adaptation; Neural Network; Powerstrain.; Siirto-oppiminen; kunnonvalvonta; verkkotunnuksen mukauttaminen; neuroverkko; voimansiirto.; Överföring lärande; tillståndsövervakning; domänanpassning; neuralt nätverk; Powerstrain;

    Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE

  3. 2. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Adam Ahlman; Adam Taylor; [2023]
    Keywords : Time Series; Forecasting;

    Abstract : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. READ MORE

  4. 3. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory

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

    Author : Laura Murphy; [2023]
    Keywords : Near-Earth Object Detection; Machine Learning; Deep Learning; Visual Transformers;

    Abstract : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. READ MORE

  5. 4. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs

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

    Author : Jakub Reha; [2023]
    Keywords : Graph neural networks; Temporal graphs; Benchmark datasets; Anomaly detection; Heterogeneous graphs; Provenance graphs; Grafiska neurala nätverk; temporala grafer; benchmark-datauppsättningar; anomalidetektering; heterogena grafer; härkomstgrafer;

    Abstract : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. READ MORE

  6. 5. An empirical study of the impact of data dimensionality on the performance of change point detection algorithms

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

    Author : Léo Noharet; [2023]
    Keywords : Time series segmentation; Change point detection; Multivariate time series; Data dimensionality; Tidsserie-segmentering; Förändringspunkts detektering; Mulitvariabla tidsserier; Data dimentionalitet;

    Abstract : When a system is monitored over time, changes can be discovered in the time series of monitored variables. Change Point Detection (CPD) aims at finding the time point where a change occurs in the monitored system. READ MORE