Hae LUTPubista
Aineistot 11-20 / 104
Analysing electricity consumption data by fast search and find of density peaks
(2017)
The aim of this thesis is to compare a clustering method called Clustering by fast search and find of density peaks (CFSFDP) (Rodriguez et al. 2014) to two traditional clustering methods in analysis electricity consumption. ...
Unsupervised anomaly detection from wooden boards using autoencoders
(2019)
For wood processing in the sawmill industry, quality of the raw material in every step affects the production efficiency. Defects in the sawn timber, such as wane, knots, cracks, watermarks, fungal damage, insect defects, ...
Visualising deep grading of diabetic retinopathy
(2019)
Diabetic retinopathy is a medical condition that occurs when fluctuating levels of blood sugar damage the blood vessels of the retina. Presence of vascular abnormalities in the retinal images indicate the presence of ...
Forest stand parameter estimation by using neural networks
(2019)
Wood is a vital material used everywhere. And it is very important to monitor the state of forests. One of the most common ways to estimate different forest parameters is to make the model based on the data obtained by ...
Clustering electricity consumption data to identify optimal electricity contracts
(2020)
This thesis is aimed to study development of electricity consumption trends, cluster historical consumption time series and aim to determine optimal price contract for both individual clusters and customers.
First main ...
Ylioppilaskirjoitustulosten vertailu ja uusien ylioppilaiden jatko-opintoihin sijoittumisen tarkastelu
(2021)
Ylioppilastutkinnon saamiseksi täytyy suorittaa lukion oppimäärän mukaiset opinnot sekä läpäistä ylioppilaskirjoituskokeet. Ylioppilastutkintoon kuuluu vähintään neljä koetta. Kokeet järjestetään äidinkielessä, matematiikassa, ...
Deep forecasting of electricity consumption and production
(2020)
Buildings stock represented 41% of the final European energy consumption in 2016. It is, therefore, critical to improve their energy efficiency. Forecasting the electricity consumption of buildings would help users in ...
Pitch correction of human singing voice using neural networks
(2020)
Pitch correction of vocals is an integral part of music production, and while there are automatic methods for the process, they tend to produce a recognizable sound and their usage can be clearly heard in the final audio. ...
Metric learning based pattern matching for species agnostic animal re-identification
(2021)
In the active effort to monitor and protect endangered animal species, modern technology is replacing the previously used conventional techniques of tracking using GPS or tagging which are considered invasive in nature. ...
Transformer networks for short-term forecasting of electricity prosumption
(2021)
Efficient energy management is accomplished by ensuring sustainable production of power and usage with minimized energy wastage. Electricity prosumption refers to electricity production and consumption. The forecasting of ...