Zobrazeno 1 - 10
of 61
pro vyhledávání: '"R. Szmurło"'
Autor:
Szymon Kus, R. Szmurło
Publikováno v:
2021 22nd International Conference on Computational Problems of Electrical Engineering (CPEE).
The paper investigates the applicability of deep neural networks and transfer learning procedure to developing a handwriting recognition system for typing contextless content in a Virtual Reality system. Inputting special characters in such systems i
Autor:
Stanislaw Osowski, R. Szmurło
Publikováno v:
2021 22nd International Conference on Computational Problems of Electrical Engineering (CPEE).
The paper considers the problem of recognition of face images using an ensemble of deep CNN networks. The solution combines different feature selection methods and three types of classifiers: support vector machine, a random forest of decision trees,
Publikováno v:
IJCNN
This paper aims to explore popular CNN architectures for the generation of patient-specific dose distributions for Volumetric Modulated Arc Therapy (VMAT) radiotherapy satisfying clinical dose-volume constraints. Only organs at risk (OARs) and planni
Publikováno v:
PRZEGLĄD ELEKTROTECHNICZNY. 1:173-176
Akademický článek
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Publikováno v:
Bulletin of the Polish Academy of Sciences Technical Sciences. 64:897-905
This paper presents an originally-developed system for design and optimization of AC-DC converters dedicated in particular to operation in distributed generation systems. The proposed procedure is based on a multi-objective discrete optimization and
Autor:
R. Szmurło, Szymon Piasecki
Publikováno v:
19th International Conference Computational Problems of Electrical Engineering.
The paper presents application of two selected algorithms for an online platform for multicriteria optimization of AC/DC converters. The purpose of the platform is to speed up selection of components to satisfy the four main objectives in power elect
Publikováno v:
Applied Mathematics and Computation. 267:655-663
There are constant efforts to improve speed and automation of the segmentation process of CT data. We propose a semi-automatic, atlas-based method of building 3D individualized skeletons. The intervention of human operator is minimal and is limited t
Publikováno v:
Applied Mathematics and Computation. 267:456-464
This paper presents two conformance indexes that can be used to measure a similarity between two delineated structures. The authors use the presented conformance indexes for rating the results of Poisson Surface Reconstruction algorithm on real patie
Publikováno v:
PRZEGLĄD ELEKTROTECHNICZNY. 1:89-91