Haku
Viitteet 1-8 / 8
Automated clustering of perturbation-induced quantum scars
(2018)
Kandidaatintyö
Kandidaatintyö
Some of high-energy eigenstates of a highly disordered quantum system are strongly scarred by periodic orbits of the unperturbed classical counterpart. Detecting these scars has thus far relied on a researcher to go through ...
Comparison of RSA and Elliptic Curve Cryptosystems
(2018)
Kandidaatintyö
Kandidaatintyö
The thesis was a literary review of two public key cryptosystems, RSA and elliptic curve cryptosystem (ECC). Its main focus was on their key generation as well as their use in key exchange and digital signatures, looking ...
Scaled Agile Frameword from The Perspective of Security Engineering
(2018)
Kandidaatintyö
Kandidaatintyö
Shared world illusion in networked videogames
(2018)
Kandidaatintyö
Kandidaatintyö
This thesis aims to discover pivotal points of maintaining shared world illusion in networked videogames. The paper was inspired by huge amount of games that include multiplayer components, even if it does not fit thematically. ...
Deep learning-based object detection with point cloud data
(2018)
Kandidaatintyö
Kandidaatintyö
Deep convolutional neural networks (CNNs) are used in various tasks, especially in classification and object detection in two-dimensional images. In this work, two deep convolutional neural networks were experimented for ...
Data collection and signal analysis using Electrical Impedance Tomography
(2018)
Kandidaatintyö
Kandidaatintyö
The effect of two hyperparameters in the learning performance of the Convolutional Neural Networks
(2018)
Kandidaatintyö
Kandidaatintyö
The research topic of this work was to study the effect of two special hyperparameters to the learning performance of Convolutional Neural Networks (CNN) in the Cifar-10 image recognition problem.
The first hyperparameter, ...
Automatic Pectoral Muscle Segmentation in Full-Field Digital Mammography Images Using Log-Gabor Filters
(2018)
Kandidaatintyö
Kandidaatintyö
Mammography image segmentation is one of the first steps taken by a computer-aided diagnosis system, to find the region of interest for further processing and risk assessment. Failure to do so properly could lead to false ...