Trepo - Selaus Tutkinto-ohjelman ja opintosuunnan mukaan
Viitteet 1-10 / 10
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Bayesian switching model for forecasting GDP growth rates
(2020)
Pro gradu -tutkielmaThe forecast properties of econometric models for gross domestic product (GDP) have been of great interest since Nelson (1972) criticized large-scale macroeconometric models. Various approaches have been proposed, yet ... -
Comparison of machine learning approaches for classification of invoices
(2020)
Pro gradu -tutkielmaMachine learning has become one of the leading sciences governing modern world. Various disciplines specifically neural networks have recently gained a lot of attention due to its widespread applications. With the recent ... -
Customer Move Prediction In Electricity Sales Using Deep Learning Neural Networks
(2020)
Pro gradu -tutkielma -
Data Vault 2.0 Automation Solutions for Commercial Use
(2020)
Pro gradu -tutkielmaAs the amount of data and the need for its processing and storage have increased, methods for its management and reporting have been intensely developed. However, these methods require a lot of skills, time, and manual ... -
Deep Learning: An Overview of Convolutional Neural Network(CNN)
(2020)
Pro gradu -tutkielmaIn the last two decades, deep learning, an area of machine learning has made exponential progress and breakthroughs. Currently, it is used in many devices and machines and is becoming more and more common in our everyday ... -
Detecting the hydrodynamic pressure signal of a ship using adaptive filtering
(2020)
Pro gradu -tutkielma -
Fairness in Variational Autoencoders Recommenders
(2020)
Pro gradu -tutkielmaRecommender systems have become increasingly relevant since big giants like Amazon, Netflix, and many other web services have started to enhance user’s experience based on recommendations. However, implementing state of ... -
New Statistical Tools For Modeling Children's Body Mass Index
(2020)
Pro gradu -tutkielmaOverweightness and obesity among children have been increased considerably in the last decades. Thus, children’s Body Mass Index (BMI) curves have been examined in order to identify the children with a risk of obesity. For ... -
Putkiremonttien viivästymisten syiden tutkiminen tilastollisella data-analyysilla: Case Fira Group Oy
(2020)
Pro gradu -tutkielmaFira Palveluiden linjasaneerauksessa Fira Ketterässä on pyritty lyhentämään putkiremontin läpimenoaikaa kahdella kolmasosalla. Uusi menetelmä on alkuun ollut häiriöherkkä, ja ongelmia on ilmennyt asuntokohtaisesti, minkä ... -
White Matter Hyperintensity and Multi-region Brain MRI Segmentation Using Convolutional Neural Network
(2020)
Pro gradu -tutkielmaAccurate segmentation of WMH (white matter hyperintensity) from the magnetic resonance image is a prerequisite for many precise medical procedures, especially for the diagnosis of vascular dementia. Brain segmentation has ...
