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Marta Wlodarczyk-Sielicka
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2020 – today
- 2023
- [j14]Marta Wlodarczyk-Sielicka
, Dawid Polap
Spatial Visualization Based on Geodata Fusion Using an Autonomous Unmanned Vessel. Remote. Sens. 15(7): 1763 (2023) - [j13]Patryk Biernacik
Comparative Analysis of Selected Geostatistical Methods for Bottom Surface Modeling. Sensors 23(8): 3941 (2023) - [j12]Wiktor Mujta, Marta Wlodarczyk-Sielicka
Testing the Effect of Bathymetric Data Reduction on the Shape of the Digital Bottom Model. Sensors 23(12): 5445 (2023) - 2022
- [j11]Jacek Lubczonek
Advances in Remote Sensing of the Inland and Coastal Water Zones. Remote. Sens. 14(21): 5346 (2022) - [j10]Dawid Polap
Side-Scan Sonar Analysis Using ROI Analysis and Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-8 (2022) - 2021
- [j9]Jacek Lubczonek
Methodology for Developing a Combined Bathymetric and Topographic Surface Model Using Interpolation and Geodata Reduction Techniques. Remote. Sens. 13(21): 4427 (2021) - [j8]Audrius Kulikajevas, Rytis Maskeliunas
Auto-Refining Reconstruction Algorithm for Recreation of Limited Angle Humanoid Depth Data. Sensors 21(11): 3702 (2021) - [j7]Andrzej Stateczny
Sensors and Sensor's Fusion in Autonomous Vehicles. Sensors 21(19): 6586 (2021) - 2020
- [j6]Dawid Polap
Classification of Non-Conventional Ships Using a Neural Bag-Of-Words Mechanism. Sensors 20(6): 1608 (2020) - [j5]Marta Wlodarczyk-Sielicka
Processing of Bathymetric Data: The Fusion of New Reduction Methods for Spatial Big Data. Sensors 20(21): 6207 (2020) - [c6]Marta Wlodarczyk-Sielicka
Interpolation merge as augmentation technique in the problem of ship classification. FedCSIS 2020: 443-446
2010 – 2019
- 2019
- [j4]Marta Wlodarczyk-Sielicka
The Use of an Artificial Neural Network to Process Hydrographic Big Data during Surface Modeling. Comput. 8(1): 26 (2019) - [j3]Marta Wlodarczyk-Sielicka
The Reduction Method of Bathymetric Datasets that Preserves True Geodata. Remote. Sens. 11(13): 1610 (2019) - [j2]Marta Wlodarczyk-Sielicka
Automatic Classification Using Machine Learning for Non-Conventional Vessels on Inland Waters. Sensors 19(14): 3051 (2019) - [c5]Witold Kazimierski
Mobile River Navigation for Smart Cities. ICIST 2019: 591-604 - 2018
- [j1]Marta Wlodarczyk-Sielicka
Interpolating Bathymetric Big Data for an Inland Mobile Navigation System. Inf. Technol. Control. 47(2): 338-348 (2018) - [c4]Jacek Lubczonek
The Use of an Artificial Neural Network for a Sea Bottom Modelling. ICIST 2018: 357-369 - 2017
- [c3]Marta Wlodarczyk-Sielicka
Problem of Bathymetric Big Data Interpolation for Inland Mobile Navigation System. ICIST 2017: 611-621 - 2016
- [c2]Marta Wlodarczyk-Sielicka
Importance of Neighborhood Parameters During Clustering of Bathymetric Data Using Neural Network. ICIST 2016: 441-452 - 2014
- [c1]Andrzej Stateczny
Self-organizing Artificial Neural Networks into Hydrographic Big Data Reduction Process. RSEISP 2014: 335-342
Coauthor Index
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