Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Daniel Štifanić"'
Publikováno v:
Tehnički Vjesnik, Vol 29, Iss 1, Pp 51-59 (2022)
A thermodynamic analysis of CO2 closed-cycle gas turbine is presented in this paper. Two processes are investigated - base process and the same process upgraded with a heat regenerator. Maximum specific useful work is 159.94 kJ/kg for both observed p
Externí odkaz:
https://doaj.org/article/25c7d237b6fe4f05a7051ddc0bc17aa0
Autor:
Teodor Grenko, Sandi Baressi Šegota, Nikola Anđelić, Ivan Lorencin, Daniel Štifanić, Jelena Štifanić, Matko Glučina, Borna Franović, Zlatan Car
Publikováno v:
Machines, Vol 11, Iss 2, p 167 (2023)
Path planning is one of the key steps in the application of industrial robotic manipulators. The process of determining trajectories can be time-intensive and mathematically complex, which raises the complexity and error proneness of this task. For t
Externí odkaz:
https://doaj.org/article/3dbf200f979944a885c330685665628b
Autor:
Sandi Baressi Šegota, Ivan Lorencin, Nikola Anđelić, Jelena Musulin, Daniel Štifanić, Matko Glučina, Saša Vlahinić, Zlatan Car
Publikováno v:
Mathematics, Vol 10, Iss 16, p 2925 (2022)
Vaccinations are one of the most important steps in combat against viral diseases such as COVID-19. Determining the influence of the number of vaccinated patients on the infected population represents a complex problem. For this reason, the aim of th
Externí odkaz:
https://doaj.org/article/e4ef9e12c68b40019a88051b75b63de0
Autor:
Daniel Štifanić, Jelena Musulin, Adrijana Miočević, Sandi Baressi Šegota, Roman Šubić, Zlatan Car
Publikováno v:
Complexity, Vol 2020 (2020)
COVID-19 is an infectious disease that mostly affects the respiratory system. At the time of this research being performed, there were more than 1.4 million cases of COVID-19, and one of the biggest anxieties is not just our health, but our livelihoo
Externí odkaz:
https://doaj.org/article/50deafda8c984b0599e917e7f31fb768
Autor:
Sandi Baressi Šegota, Ivan Lorencin, Klara Smolić, Nikola Anđelić, Dean Markić, Vedran Mrzljak, Daniel Štifanić, Jelena Musulin, Josip Španjol, Zlatan Car
Publikováno v:
Biology, Vol 10, Iss 11, p 1134 (2021)
Urinary bladder cancer is one of the most common cancers of the urinary tract. This cancer is characterized by its high metastatic potential and recurrence rate. Due to the high metastatic potential and recurrence rate, correct and timely diagnosis i
Externí odkaz:
https://doaj.org/article/1b7973215b66493bb56f23ee94f2095c
Publikováno v:
Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering ISBN: 9783031297168
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee0a3aa83ebddaee6a4159b6aef65e85
https://doi.org/10.1007/978-3-031-29717-5_9
https://doi.org/10.1007/978-3-031-29717-5_9
Autor:
Daniel Štifanić, Zlatan Car
Publikováno v:
Journal of Maritime & Transportation Science. 59:131-142
Fish population monitoring systems based on underwater video recording are becoming more popular nowadays, however, manual processing and analysis of such data can be time-consuming. Therefore, by utilizing machine learning algorithms, the data can b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20c56dd78458a24e93d379c4e441851e
https://doi.org/10.18048/2020.59.08.
https://doi.org/10.18048/2020.59.08.
Autor:
Zlatan Car, Adrijana Miočević, Jelena Musulin, Roman Šubić, Sandi Baressi Šegota, Daniel Štifanić
Publikováno v:
Complexity, Vol 2020 (2020)
Complexity, 2020:1846926
Complexity, 2020:1846926
COVID-19 is an infectious disease that mostly affects the respiratory system. At the time of this research being performed, there were more than 1.4 million cases of COVID-19, and one of the biggest anxieties is not just our health, but our livelihoo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4065bfb6c965998a0058b0d8be2fc0ae
https://doi.org/10.1155/2020/1846926
https://doi.org/10.1155/2020/1846926
Publikováno v:
Journal of Maritime & Transportation Science. 58:25-38
An artificial neural network (ANN) approach is proposed to the problem of estimating the propeller torques of a frigate using combined diesel, electric and gas (CODLAG) propulsion system. The authors use a multilayer perceptron (MLP) feed-forward ANN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56d04c13be1e12c5edbd388244c240ef
https://doi.org/10.18048/2020.58.02.
https://doi.org/10.18048/2020.58.02.
Publikováno v:
NAŠE MORE : znanstveni časopis za more i pomorstvo
Volume 67
Issue 2
Volume 67
Issue 2
Authors present a Multilayer Perceptron (MLP) artificial neural network (ANN) method for the purpose of estimating a speed of a frigate using a combined diesel-electric and gas (CODLAG) propulsion system. Dataset used is publicly available, as condit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dae8917da469ffba075ad4526c21be7d
https://doi.org/10.17818/nm/2020/2.4
https://doi.org/10.17818/nm/2020/2.4