Sökning: "sliding-window"

Visar resultat 21 - 25 av 48 uppsatser innehållade ordet sliding-window.

  1. 21. A machine learning analysis of photographs of the Öresund bridge

    Kandidat-uppsats, Högskolan Kristianstad/Avdelningen för datavetenskap; Högskolan Kristianstad/Fakulteten för ekonomi

    Författare :Martijn de Redelijkheid; Kristian Kokoneshi; [2020]
    Nyckelord :Machine Learning; Image Processing; Structural Health Management; Neural Networks; Convolutional Neural Networks; Concrete Crack Detection; Öresund Bridge;

    Sammanfattning : This study presents an exploration of several machine learning and image processing theories, as well as a literature review of several previous works on concrete crack detection systems. Through the literature review a system is selected and implemented with the Öresund bridge photograph collection. LÄS MER

  3. 22. Time Series Forecasting of House Prices: An evaluation of a Support Vector Machine and a Recurrent Neural Network with LSTM cells

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Jako Rostami; Fredrik Hansson; [2019]
    Nyckelord :machine learning; cross-validation; seasonality; sliding window; sequential model; supervised learning;

    Sammanfattning : In this thesis, we examine the performance of different forecasting methods. We use dataof monthly house prices from the larger Stockholm area and the municipality of Uppsalabetween 2005 and early 2019 as the time series to be forecast. LÄS MER

  4. 23. Today's Space Weather in the Planetarium : visualization and feature extraction pipeline for astrophysical observation and simulation data

    Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska högskolan

    Författare :Sovanny Huy Nikkilä; Axel Kollberg; [2019]
    Nyckelord :scientific visualization; field line visualization; feature extraction; runtime downloading; sliding windows;

    Sammanfattning : This thesis describes the work of two students in collaboration with OpenSpace and the Community Coordinated Modelling Center (CCMC). The need expressed by both parties is a way to more accessibly visualize space weather data from the CCMC in OpenSpace. LÄS MER

  5. 24. Machine Learning Approach to the Design of Autonomous Construction Equipment applying Data-Driven Decision Support Tool

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Författare :Aniruddh Goteti; [2019]
    Nyckelord :Machine Learning; Regression; Time Series; Construction Equipment;

    Sammanfattning : Design engineers working in construction machinery industry face a lot of complexities and uncertainties while taking important decisions during the design of construction equipment. These complexities can be reduced by the implementation of a data-driven decision support tool, which can predict the behaviour of the machine in operational complexity and give some valuable insights to the design engineer. LÄS MER

  7. 25. Wind Turbine Performance Assessment Modeling Using Machine Learning Method for Condition Based Maintenance

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

    Författare :Qiuyi Huang; [2018]
    Nyckelord :;

    Sammanfattning : This thesis work proposes a performance assessment framework to estimateoperation states of wind turbines for the sake of condition monitoring. Theframework uses the data in the supervisory control and data acquisition systemsas original input and some machine learning methods including K-NearestNeighbour, K-Means Clustering, Support Vector Machine and Artificial NeuralNetwork are implemented to analyze the data. LÄS MER