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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. ...
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 ...
Exploring approaches for secure workload deployment and attestation in virtualization-based confidential computing environment
(2022)
Nowadays, it is difficult to dispute the growing popularity of cloud technologies due to their high availability and scalability, as well as lower usage and support costs compared to onpremises servers. However, cloud ...
Servitization in Finnish manufacturing industry : a framework for transforming businesses
(2022)
This research studies the journey of manufacturing companies that are making a transition from being product-centric to offering a blend of product and services. Research in this domain is important because a practical ...
Data-based manufacturing process optimization using image data : case : veneer and LVL
(2022)
Manufacturing industries are continually exploring ways to optimize their manufacturing processes to improve production by maximizing raw materials usage and minimizing operational costs. Industry 4.0 brings a digital ...
Modelling water reinjection after methane extraction in Lake Kivu
(2023)
The large amount of dissolved gases including carbon dioxide and methane in Lake Kivu poses a significant threat due to the potential for catastrophic gas eruption. To mitigate this risk, the implementation of the project ...
Applicability of handheld Raman spectrometer for plant health monitoring
(2023)
In this study, Basil plants are monitored with a handheld Raman spectrometer. The objective is to find out if a handheld Raman spectrometer can be used as a monitoring tool for plant pollution and suggest a methodology to ...
Statistical quality control via machine learning
(2023)
Faults in the rolling element bearings are a common problem in rotating equipment. Therefore predicting and identifying the faults from vibration signals has gained increased attention. The goal of this thesis is to explore ...
Resilient supply chain optimization
(2023)
Especially after the COVID -19 the importance of studying the about resilient supply chain optimization has been increased even more. A supply chain network can be optimized with respect to many aspects such as inventory, ...