Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Ireneusz Czarnowski"'
Autor:
Marta Szarmach, Ireneusz Czarnowski
Publikováno v:
Scientific Journal of Gdynia Maritime University, Iss 127 (2023)
AIS (Automatic Identification System) is a telecommunication system created to enable ships to transmit information regarding their trajectories (such as their position, speed, course, etc.) to other ships and shore stations. With the use of AIS, col
Externí odkaz:
https://doaj.org/article/4b1c6caf803a476b9b363c6a302dd0c0
Autor:
Marta Szarmach, Ireneusz Czarnowski
Publikováno v:
IEEE Access, Vol 10, Pp 109119-109131 (2022)
Thanks to the Automatic Identification System (AIS), ships and other maritime equipment are able to communicate with each other, for example, by sending information about their position. This solution allows for early collision detection when two or
Externí odkaz:
https://doaj.org/article/c81ec5cd0fab4bc7b929c375ec8f5788
Publikováno v:
IEEE Access, Vol 9, Pp 4411-4422 (2021)
The RBF networks belong to a set of artificial neural network architectures. RBF networks have been successfully applied for solving various data mining tasks including classification, and regression. Successful implementation of the RBF network depe
Externí odkaz:
https://doaj.org/article/556db7fbf1ae432b92cb8fb5602c4bd5
Publikováno v:
IEEE Access, Vol 9, Pp 151386-151400 (2021)
The paper proposes a taxonomy for categorizing the main features of the supervised learning classification problems and a notation for the identification of the supervised learning classification problem categories. The proposed taxonomy has been bas
Externí odkaz:
https://doaj.org/article/949fd29db5b3467c9f010874df36d164
Autor:
Sauli Ahvenjärvi, Ireneusz Czarnowski, J. KÁla, A. Kyster, Ireneusz Meyer, J. Mogensen, Pawel Szyman
Publikováno v:
TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, Vol 13, Iss 1, Pp 165-171 (2019)
The first ever attempt at fully autonomous dock-to-dock operation has been tested and demonstrated successfully at the end of 2018. The revolutionary shift is feared to have a negative impact on the safety of navigation and the getting of real-time s
Externí odkaz:
https://doaj.org/article/84be9e2880a74896a8967b8b28973f46
Publikováno v:
Complexity, Vol 2018 (2018)
In the paper, several data reduction techniques for machine learning from big datasets are discussed and evaluated. The discussed approach focuses on combining several techniques including stacking, rotation, and data reduction aimed at improving the
Externí odkaz:
https://doaj.org/article/32dadf8e69db4abbba23da07fefe08d0
Autor:
Oskar Sęk, Ireneusz Czarnowski
Publikováno v:
Procedia Computer Science. 207:3969-3977
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf67a088f7294cd7747d187260ddd376
https://doi.org/10.1016/j.procs.2022.09.459
https://doi.org/10.1016/j.procs.2022.09.459
Autor:
Ireneusz Czarnowski, Marta Szarmach
Publikováno v:
IEEE Access. 10:109119-109131
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e08536ab27da3d8ff18dcf38201aaa1
https://doi.org/10.1109/access.2022.3214217
https://doi.org/10.1109/access.2022.3214217
Autor:
Oskar Sęk, Ireneusz Czarnowski
Publikováno v:
Intelligent Decision Technologies ISBN: 9789819929689
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ca65053490c56f5c525e45318c80e18
https://doi.org/10.1007/978-981-99-2969-6_6
https://doi.org/10.1007/978-981-99-2969-6_6
Autor:
Marta Mieczyńska, Ireneusz Czarnowski
Publikováno v:
WMU Journal of Maritime Affairs. 20:377-400
The paper deals with a problem of automatic identification system (AIS) data analysis, especially eliminating the impact of AIS packet collision and detecting existing outliers in AIS data. To solve this problem, a clustering-based approach is propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfe43a932be3e27d355883ecf80ff32a
https://doi.org/10.1007/s13437-021-00241-3
https://doi.org/10.1007/s13437-021-00241-3