Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Pawel Ksieniewicz"'
Publikováno v:
IEEE Access, Vol 12, Pp 155632-155643 (2024)
The development of technologies related to the TinyML concept observed in recent years forces us to consider the trade-off between inference time and recognition quality. Moreover, employing data stream processing methods to analyze large volumes of
Externí odkaz:
https://doaj.org/article/80deeb81b8f2423ea1da4a12d039378a
Publikováno v:
IEEE Access, Vol 10, Pp 53810-53821 (2022)
The latest trends in computer networks bring new challenges and complex optimization problems, one of which is link dimensioning in Spectrally-Spatially Flexible Optical Networks. The time-consuming calculations related to determining the objective f
Externí odkaz:
https://doaj.org/article/39e97cfd95724f04a31900412f80645a
Autor:
Weronika Wegier, Pawel Ksieniewicz
Publikováno v:
Entropy, Vol 22, Iss 8, p 849 (2020)
In the era of a large number of tools and applications that constantly produce massive amounts of data, their processing and proper classification is becoming both increasingly hard and important. This task is hindered by changing the distribution of
Externí odkaz:
https://doaj.org/article/337db100c69b4a14a90f1af188e4cdec
Autor:
Pawel Ksieniewicz, Joanna Komorniczak
Publikováno v:
Neurocomputing. 521:126-136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0828593d7577a8028355f23a1d98cf13
https://doi.org/10.1016/j.neucom.2022.11.056
https://doi.org/10.1016/j.neucom.2022.11.056
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::998f309985eef415668f056fa9cf9337
https://doi.org/10.1109/bigdata55660.2022.10020824
https://doi.org/10.1109/bigdata55660.2022.10020824
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0de78da4f9d4c89b15306c1f400364f4
https://doi.org/10.1109/ijcnn55064.2022.9892104
https://doi.org/10.1109/ijcnn55064.2022.9892104
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0600951d176917dafa2291b65fa4bad6
https://doi.org/10.1109/ijcnn55064.2022.9892319
https://doi.org/10.1109/ijcnn55064.2022.9892319
Autor:
Pawel Ksieniewicz, Joanna Komorniczak
Publikováno v:
ESANN 2022 proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b3083345e4e0b1807df0f523ed75d40
https://doi.org/10.14428/esann/2022.es2022-49
https://doi.org/10.14428/esann/2022.es2022-49
Publikováno v:
Knowledge-Based Systems. 252:109380
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4f19a9fc0cf6a801332d179b338ef94
https://doi.org/10.1016/j.knosys.2022.109380
https://doi.org/10.1016/j.knosys.2022.109380
Autor:
Robert Burduk, Michał Choraś, Rafał Kozik, Paweł Ksieniewicz, Tomasz Marciniak, Paweł Trajdos
This book presents a collection of high-quality research papers accepted to multi-conference consisting of the 13th International Conference on Image Processing and Communications (IP&C 2023), the 13th International Conference on Computer Recognition
