Arnas Uselis; Mantas Lukoševičius; Lukas Stasytis Localized convolutional neural networks for geospatial wind forecasting Journal Article Energies, 13 (13), pp. 3440, 2020, (source code available). Links | BibTeX | Tags: Deep learning, Geospatial, Source code available @article{UselisLukoseviciusStasytis20,
title = {Localized convolutional neural networks for geospatial wind forecasting },
author = {Arnas Uselis and Mantas Luko\v{s}evi\v{c}ius and Lukas Stasytis},
url = {https://mantas.info/get-publication/?f=Localized_CNNs_for_wind_forecasting.pdf
https://www.mdpi.com/1996-1073/13/13/3440
https://arxiv.org/abs/2005.05930v3
https://arxiv.org/pdf/2005.05930v3.pdf
https://paperswithcode.com/paper/localized-convolutional-neural-networks-for
https://github.com/oshapio/Localized-CNNs-for-Geospatial-Wind-Forecasting
https://mantas.info/get-publication/?f=Localized_CNNs-Gentle_intro_presentation_in_Lithuanian.pdf
https://www.youtube.com/watch?v=cie6lCs1nR4&Gentle_intro_presentation_in_Lithuanian
},
doi = {10.3390/en13133440},
year = {2020},
date = {2020-07-03},
issuetitle = {Machine Learning and Deep Learning for Energy Systems},
journal = {Energies},
volume = {13},
number = {13},
pages = {3440},
publisher = {MDPI},
note = {source code available},
keywords = {Deep learning, Geospatial, Source code available},
pubstate = {published},
tppubtype = {article}
}
|
Mantas Bukauskas; Mantas Lukoševičius Accident localization at the district heating network of Kaunas region using machine learning Inproceedings Proceedings of the IVUS 2020, pp. 128-137, CEUR, Kaunas, Lithuania, 2020, ISBN: 1613-0073. Links | BibTeX | Tags: Geospatial @inproceedings{BukauskasLukosevicius20,
title = {Accident localization at the district heating network of Kaunas region using machine learning},
author = {Mantas Bukauskas and Mantas Luko\v{s}evi\v{c}ius},
url = {https://mantas.info/get-publication/?f=heating_accident_localization.pdf
http://ceur-ws.org/Vol-2698/p18.pdf},
isbn = {1613-0073},
year = {2020},
date = {2020-04-23},
booktitle = {Proceedings of the IVUS 2020},
volume = {2698},
pages = {128-137},
publisher = {CEUR},
address = {Kaunas, Lithuania},
keywords = {Geospatial},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Aivaras Čiurlionis; Mantas Lukoševičius Nowcasting precipitation using weather radar data for Lithuania: the first results Inproceedings SYSTEM 2018 Symposium for Young Scientists in Technology, Engineering and Mathematics, pp. 55-60, CEUR, 2018. Links | BibTeX | Tags: Deep learning, Geospatial @inproceedings{CiurlionisLukosevicius18,
title = {Nowcasting precipitation using weather radar data for Lithuania: the first results},
author = {Aivaras \v{C}iurlionis and Mantas Luko\v{s}evi\v{c}ius},
url = {https://mantas.info/get-publication/?f=nowcasting_LT_weather_1st_results.pdf
http://ceur-ws.org/Vol-2147/p10.pdf},
year = {2018},
date = {2018-05-28},
booktitle = {SYSTEM 2018 Symposium for Young Scientists in Technology, Engineering and Mathematics},
volume = {2147},
pages = {55-60},
publisher = {CEUR},
keywords = {Deep learning, Geospatial},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Local versions of paywalled articles are preprints.
My publications in Google Scholar.