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Kogut, Tomasz
42  results:
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1

Application of Proton Ionic Liquid in the Process of Obtain..:

Smuga-Kogut, Małgorzata ; Walendzik, Bartosz ; Lewicka-Rataj, Katarzyna...
Energies.  17 (2024)  4 - p. 972 , 2024
Link: https://doi.org/10.3390/..
 
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2

Risk of Tree Fall on High-Traffic Roads: A Case Study of th..:

Kogut, Tomasz ; Wancel, Dagmara ; Stępień, Grzegorz...
Applied Sciences.  14 (2024)  11 - p. 4479 , 2024
Link: https://doi.org/10.3390/..
 
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3

Applicability of Machine Learning for Vessel Dimension Surv..:

Garczyńska, Ilona ; Tomczak, Arkadiusz ; Stępień, Grzegorz...
Applied Sciences.  12 (2022)  7 - p. 3453 , 2022
Link: https://doi.org/10.3390/..
 
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4

Seabed Modelling by Means of Airborne Laser Bathymetry Data..:

Kogut, Tomasz ; Tomczak, Arkadiusz ; Słowik, Adam.
Sensors.  22 (2022)  9 - p. 3121 , 2022
Link: https://doi.org/10.3390/..
 
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5

Classification of Airborne Laser Bathymetry Data Using Arti..:

Kogut, Tomasz ; Slowik, Adam
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.  14 (2021)  - p. 1959-1966 , 2021
Link: https://doi.org/10.1109/..
 
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6

Ionic liquid pretreatment of stinging nettle stems and gian..:

Smuga-Kogut, Małgorzata ; Szymanowska-Powałowska, Daria ; Markiewicz, Roksana..
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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7

Use of Machine Learning Methods for Predicting Amount of Bi..:

Smuga-Kogut, Małgorzata ; Kogut, Tomasz ; Markiewicz, Roksana.
Energies.  14 (2021)  1 - p. 243 , 2021
Link: https://doi.org/10.3390/..
 
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8

Classifying airborne bathymetry data using the Random Fores..:

Kogut, Tomasz ; Weistock, Marlena
Remote Sensing Letters.  10 (2019)  9 - p. 874-882 , 2019
Link: https://doi.org/10.1080/..
 
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9

Improvement of Full Waveform Airborne Laser Bathymetry Data..:

Kogut, Tomasz ; Bakuła, Krzysztof
Remote Sensing.  11 (2019)  10 - p. 1255 , 2019
Link: https://doi.org/10.3390/..
 
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10

The use of ionic liquid pretreatment of rye straw for bioet..:

Smuga-Kogut, Małgorzata ; Zgórska, Kazimiera ; Kogut, Tomasz...
Fuel.  191 (2017)  - p. 266-274 , 2017
Link: https://doi.org/10.1016/..
 
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11

Neural networks for the generation of sea bed models using ..:

Kogut, Tomasz ; Niemeyer, Joachim ; Bujakiewicz, Aleksandra
Geodesy and Cartography.  65 (2016)  1 - p. 41-54 , 2016
Link: https://doi.org/10.1515/..
 
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12

Ionic liquid pretreatment of stinging nettle stems and gian..:

Smuga-Kogut, Małgorzata ; Szymanowska-Powałowska, Daria ; Markiewicz, Roksana..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445950/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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13

Neural networks for the generation of sea bed models using ..:

Kogut Tomasz ; Niemeyer Joachim ; Bujakiewicz Aleksandra
http://www.degruyter.com/view/j/geocart.2016.65.issue-1/geocart-2016-0007/geocart-2016-0007.xml?format=INT.  , 2016
Link: https://doi.org/10.1515/..
 
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14

Neural networks for the generation of sea bed models using ..:

Kogut, Tomasz ; Niemeyer, Joachim ; Bujakiewicz, Aleksandra
DOI:https://doi.org/10.1515/geocart-2016-0007.  , 2016
Link: http://www.repo.uni-hann..
 
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15

Applicability of Machine Learning for Vessel Dimension Surv..:

Ilona Garczyńska ; Arkadiusz Tomczak ; Grzegorz Stępień...
https://www.mdpi.com/2076-3417/12/7/3453.  , 2022
Link: https://doi.org/10.3390/..
 
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