Haku
Viitteet 11-17 / 17
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 ...
Fair Thread Synchronization
(2018)
Kandidaatintyö
Kandidaatintyö
Available computing power in modern computers has been steadily increasing in the form of processor cores. To effectively utilize the available computing power, computed programs must utilize multiple threads. Due to the ...
Data collection and signal analysis using Electrical Impedance Tomography
(2018)
Kandidaatintyö
Kandidaatintyö
Implantable pressure sensors
(2018)
Kandidaatintyö
Kandidaatintyö
Tämä kandidaatintutkielma on kirjallisuustutkimus implantoitavista paineantureista. Tutkielmassa keskitytään implantoitavien paineantureiden perusrakenteeseen ja kahteen yleiseen sovellukseen: kallonsisäisen paineen ja ...
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 ...
Supplementing React Framework with an Animation Utility Library
(2018)
Kandidaatintyö
Kandidaatintyö