Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Karolina Szczepankiewicz"'
Autor:
Karolina Szczepankiewicz, Adam Popowicz, Kamil Charkiewicz, Katarzyna Nałęcz-Charkiewicz, Michał Szczepankiewicz, Sławomir Lasota, Paweł Zawistowski, Krystian Radlak
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Deep neural networks (DNNs) have achieved outstanding results in domains such as image processing, computer vision, natural language processing and bioinformatics. In recent years, many methods have been proposed that can provide a visual ex
Externí odkaz:
https://doaj.org/article/ac891ea96fa34318aec2041fcf852a11
Autor:
Adam Popowicz, Krystian Radlak, Slawomir Lasota, Karolina Szczepankiewicz, Michal Szczepankiewicz
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 6842 (2022)
Deep neural networks (DNNs) have been used successfully for many image classification problems. One of the most important factors that determines the final efficiency of a DNN is the correct construction of the training set. Erroneously labeled train
Externí odkaz:
https://doaj.org/article/96477f8b291f48af8ffdc01eaef34a02
Autor:
Adam Popowicz, Krystian Radlak, Slawomir Lasota, Karolina Szczepankiewicz, Michal Szczepankiewicz
Publikováno v:
2022 26th International Conference on Methods and Models in Automation and Robotics (MMAR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09ac0819a19cc72a016087eee1589807
https://doi.org/10.1109/mmar55195.2022.9874318
https://doi.org/10.1109/mmar55195.2022.9874318
Autor:
Michal Szczepankiewicz, Krystian Radlak, Karolina Szczepankiewicz, Adam Popowicz, Pawel Zawistowski
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031148613
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::725b81fa37d26e9605b26cec33b0d13c
https://doi.org/10.1007/978-3-031-14862-0_4
https://doi.org/10.1007/978-3-031-14862-0_4
Autor:
Adriano Camps, Wojciech Oryszczak, Hyuk Park, Pedro A. Barrios Garcia, Robert Kedzierawski, Karolina Szczepankiewicz
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
End-to-End Mission Performance Simulators for Earth Observation missions are one of the prominent tools for system design and scientific validation in early mission phases. The European Space Agency has promoted efforts to exploit synergies between a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::315d5bd956e6d66cca0cb744cd1dc536
http://hdl.handle.net/2117/366580
http://hdl.handle.net/2117/366580
Publikováno v:
International Journal of Electronics and Telecommunications. 61:357-363
In the paper an implementation of signal processing chain for a passive radar is presented. The passive radar which was developed at the Warsaw University of Technology, uses FM radio and DVB-T television transmitters as ”illuminators of opportunit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54fb403b8389bee406ba29fcac11e660
https://doi.org/10.1515/eletel-2015-0047
https://doi.org/10.1515/eletel-2015-0047
Publikováno v:
2015 Signal Processing Symposium (SPSympo).
In this paper the distributed software environment called Conan dedicated to numerical computing is presented. The environment provides mechanisms for running separate units of execution and communication between them. It is written in C++ and can wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6171e340fc7ac731677ad10386ccc659
https://doi.org/10.1109/sps.2015.7168295
https://doi.org/10.1109/sps.2015.7168295
Publikováno v:
2015 Signal Processing Symposium (SPSympo).
The paper presents an effective implementation of passive radar algorithms which uses NVIDIA CUDA technology for parallel processing of DVB-T and FM signals. Algorithms were tested in the Passive Coherent Location system (passive radar) which utilize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8357b2af5911b6d24ef61e9814cadb9
https://doi.org/10.1109/sps.2015.7168277
https://doi.org/10.1109/sps.2015.7168277