Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Mauša, Goran"'
Autor:
Lučin, Ivana, Družeta, Siniša, Mauša, Goran, Alvir, Marta, Grbčić, Luka, Lušić, Darija Vukić, Sikirica, Ante, Kranjčević, Lado
In this paper, an in-depth analysis of Escherichia coli seawater measurements during the bathing season in the city of Rijeka, Croatia was conducted. Submerged sources of groundwater were observed at several measurement locations which could be the c
Externí odkaz:
http://arxiv.org/abs/2202.05664
Autor:
Otović, Erik, Njirjak, Marko, Jozinović, Dario, Mauša, Goran, Michelini, Alberto, Štajduhar, Ivan
Publikováno v:
Knowledge-Based Systems, Volume 239, 5 March 2022, 107976
In practice, it is very demanding and sometimes impossible to collect datasets of tagged data large enough to successfully train a machine learning model, and one possible solution to this problem is transfer learning. This study aims to assess how t
Externí odkaz:
http://arxiv.org/abs/2201.04449
Autor:
Grbčić, Luka, Družeta, Siniša, Mauša, Goran, Lipić, Tomislav, Lušić, Darija Vukić, Alvir, Marta, Lučin, Ivana, Sikirica, Ante, Davidović, Davor, Travaš, Vanja, Kalafatović, Daniela, Pikelj, Kristina, Fajković, Hana, Holjević, Toni, Kranjčević, Lado
Coastal water quality management is a public health concern, as poor coastal water quality can harbor pathogens that are dangerous to human health. Tourism-oriented countries need to actively monitor the condition of coastal water at tourist popular
Externí odkaz:
http://arxiv.org/abs/2107.03230
Publikováno v:
In Artificial Intelligence in the Life Sciences December 2022 2
Autor:
Grbčić, Luka, Družeta, Siniša, Mauša, Goran, Lipić, Tomislav, Lušić, Darija Vukić, Alvir, Marta, Lučin, Ivana, Sikirica, Ante, Davidović, Davor, Travaš, Vanja, Kalafatovic, Daniela, Pikelj, Kristina, Fajković, Hana, Holjević, Toni, Kranjčević, Lado
Publikováno v:
In Environmental Modelling and Software September 2022 155
Publikováno v:
Robotics; Jun2024, Vol. 13 Issue 6, p82, 25p
Autor:
Mauša, Goran, Galinac Grbac, Tihana
Publikováno v:
In Applied Soft Computing Journal June 2017 55:331-351
Akademický článek
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This paper compares several new implementations of the YOLO (You Only Look Once) object detection algorithms in harsh underwater environments. Using a dataset collected by a remotely operated vehicle (ROV), we evaluated the performance of YOLOv5, YOL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::a182585e6754a25ad826e3cc340e453e
https://www.bib.irb.hr/1280826
https://www.bib.irb.hr/1280826
The predictive performance of a neural network depends on its weights and architecture. Optimizers based on gradient descent are most commonly used to optimize the weights, and grid search is utilized to find the most suitable architecture from the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::22e770d36e315dd9b82c0a633f90e79f
https://doi.org/10.23919/mipro57284.2023.10159943
https://doi.org/10.23919/mipro57284.2023.10159943