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Marta Włodarczyk-Sielicka
Marta Włodarczyk-Sielicka
Verified email at am.szczecin.pl
Title
Cited by
Cited by
Year
Side-scan sonar analysis using ROI analysis and deep neural networks
D Połap, N Wawrzyniak, M Włodarczyk-Sielicka
IEEE Transactions on Geoscience and Remote Sensing 60, 1-8, 2022
762022
Self-organizing artificial neural networks into hydrographic big data reduction process
A Stateczny, M Wlodarczyk-Sielicka
Rough Sets and Intelligent Systems Paradigms: Second International …, 2014
602014
Automatic ship classification for a riverside monitoring system using a cascade of artificial intelligence techniques including penalties and rewards
D Połap, M Włodarczyk-Sielicka, N Wawrzyniak
ISA transactions 121, 232-239, 2022
522022
Clustering bathymetric data for electronic navigational charts
M Wlodarczyk–Sielicka, A Stateczny
The Journal of Navigation 69 (5), 1143-1153, 2016
432016
Technology of spatial data geometrical simplification in maritime mobile information system for coastal waters
W Kazimierski, M Włodarczyk-Sielicka
Polish Maritime Research 23 (3 (91)), 3-12, 2016
382016
Comparison of selected reduction methods of bathymetric data obtained by multibeam echosounder
M Wlodarczyk-Sielicka, A Stateczny
2016 Baltic Geodetic Congress (BGC Geomatics), 73-77, 2016
342016
Comparative analysis of selected geostatistical methods for bottom surface modeling
P Biernacik, W Kazimierski, M Włodarczyk-Sielicka
Sensors 23 (8), 3941, 2023
262023
Classification of non-conventional ships using a neural bag-of-words mechanism
D Polap, M Wlodarczyk-Sielicka
Sensors 20 (6), 1608, 2020
252020
Multibeam echosounder and LiDAR in process of 360-degree numerical map production for restricted waters with HydroDron
A Stateczny, M Wlodarczyk-Sielicka, D Gronska, W Motyl
2018 Baltic Geodetic Congress (BGC Geomatics), 288-292, 2018
252018
Comparison of selected clustering algorithms of raw data obtained by interferometric methods using artificial neural networks
M Wlodarczyk-Sielicka, J Lubczonek, A Stateczny
2016 17th International Radar Symposium (IRS), 1-5, 2016
252016
Selection of SOM parameters for the needs of clusterization of data obtained by interferometric methods
M Wlodarczyk-Sielicka, A Stateczny
2015 16th International Radar Symposium (IRS), 1129-1134, 2015
242015
Automatic classification using machine learning for non-conventional vessels on inland waters
M Wlodarczyk-Sielicka, D Polap
Sensors 19 (14), 3051, 2019
202019
Importance of neighborhood parameters during clustering of bathymetric data using neural network
M Wlodarczyk-Sielicka
International Conference on Information and Software Technologies, 441-452, 2016
172016
Methodology for developing a combined bathymetric and topographic surface model using interpolation and geodata reduction techniques
J Lubczonek, M Wlodarczyk-Sielicka, M Lacka, G Zaniewicz
Remote Sensing 13 (21), 4427, 2021
162021
Processing of bathymetric data: The fusion of new reduction methods for spatial big data
M Wlodarczyk-Sielicka, W Blaszczak-Bak
Sensors 20 (21), 6207, 2020
162020
Spatial visualization based on geodata fusion using an autonomous unmanned vessel
M Włodarczyk-Sielicka, D Połap, K Prokop, K Połap, A Stateczny
Remote Sensing 15 (7), 1763, 2023
132023
The process of modelling the elevation surface of a coastal area using the fusion of spatial data from different sensors
M Włodarczyk-Sielicka, I Bodus-Olkowska, M Łącka
Oceanologia 64 (1), 22-34, 2022
132022
Sensors and sensor’s fusion in autonomous vehicles
A Stateczny, M Wlodarczyk-Sielicka, P Burdziakowski
Sensors 21 (19), 6586, 2021
122021
General concept of reduction process for big data obtained by interferometric methods
M Wlodarczyk-Sielicka, A Stateczny
2017 18th International Radar Symposium (IRS), 1-10, 2017
122017
Automated shoreline segmentation in satellite imagery using USV measurements
A Jaszcz, M Włodarczyk-Sielicka, A Stateczny, D Połap, I Garczyńska
Remote Sensing 16 (23), 4457, 2024
112024
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Articles 1–20