Haku
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Towards practical signal-dependent noise models in path tracing
(2020)
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Kandidaatintyö
Plasmonic nanoantennas on Epsilon-Near-Zero Metamaterial substrates
(2020)
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Kandidaatintyö
The localized surface plasmon resonance (LSPR) is used for light confinement within sub-wavelength scale. The fields are localized and re-directed with the metal nanoantennas. The localization of electric field inside and ...
Testing framework for a 3D laser scanning system
(2020)
Kandidaatintyö
Kandidaatintyö
Phase-matched Metamaterials for Second-harmonic Generation
(2020)
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Kandidaatintyö
Metamaterials exhibit unconventional electromagnetic properties that cannot be found in nature, such as negative index of refraction or strong optical activity. Moreover, they show promise for enabling nanoscale nonlinear ...
Cross-platform porting of Deep Neural Networks
(2020)
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Kandidaatintyö
Deep neural networks have become the leading choice by many for machine learning applications. With the increasing amount of storage space and increasing computational capacity in modern computers, deep neural networks are ...
Anomaly detection with Prometheus
(2020)
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Kandidaatintyö
Prometheus is a widely used application to monitor Kubernetes systems. Nevertheless, it does not provide a suitable solution to detect complex anomalies. This thesis discusses the deployment of a Kubernetes system that ...
Standardizing Lightweight Cryptography
(2020)
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Kandidaatintyö
Gameful Learning and its Application
(2020)
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Kandidaatintyö
The term ’gameful learning’ has warranted an extensive research matter for gamifcation authorities around the globe. Combining gameful activities with an unappealing school lecture gives teachers the potential of producing ...
Data platform for analysis of apache projects
(2020)
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Kandidaatintyö
This Bachelor’s Thesis presents the architecture and implementation of a comprehensive data platform to fetch, process, store, analyze and finally visualize data and statistics about open source projects from the Apache ...
Suitability of Grafana and Kibana for VISDOM-type visualizations
(2020)
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Kandidaatintyö
This paper aims to find out whether it is possible to convert the existing visualization dashboards of the VISDOM-project, that is using the d3.js library for its visualization component, to a more recent software (Kibana ...