Portfelj
Kontakt
Vidljivost
Obrazovanje
2019. -
Poslijediplomski doktorski studij
Elektrotehnika
Tehnički fakultet
02.10.2017. - 24.09.2019.
Magistra inženjerka elektrotehnike
Tehnički fakultet Sveučilišta u Rijeci
01.10.2013. - 12.07.2017.
Sveučilišna prvostupnica inženjerka elektrotenike
Tehnički fakultet Sveučilišta u Rijeci
Radno iskustvo
20.03.2020. -
Stručna suradnica na projektu CEKOM
Sveučilište u Rijeci
10.12.2019. -
Stručna suradnica na projektu DATACROSS
Tehnički fakultet, Sveučilište u Rijeci
Članstva
2020. -
Studentski zbor Sveučilišta u Rijeci
2020. -
Studentski zbor Tehničkog fakulteta
Nastavna djelatnost
Kolegiji
10.2020. - 2.2021.
Elektronika I
Preddiplomski sveučilišni studij - Elektrotehnika
Tehnički fakultet
Asistent
Osobni razvoj
11.02.2019. - 28.06.2019.
Erasmus
Znanstvena djelatnost
Znanstveni radovi
2021.
Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review
Musulin, J., Baressi Šegota, S., Štifanić, D., Lorencin, I., Anđelić, N., Šušteršič, T.,..., & Markova-Car, E.
International Journal of Environmental Research and Public Health, 18(8)
Q1
2021.
An Enhanced Histopathology Analysis: An AI-Based System for Multiclass Grading of Oral Squamous Cell Carcinoma and Segmenting of Epithelial and Stromal Tissue
Musulin, J., Štifanić, D., Zulijani, A., Ćabov, T., Dekanić, A., & Car, Z.
Cancers, 13(8), 1784
Q1
2020.
Impact of covid-19 on forecasting stock prices: an integration of stationary wavelet transform and bidirectional long short-term memory
Štifanić, D., Musulin, J., Miočević, A., Baressi Šegota, S., Šubić, R., & Car, Z.
Complexity, 2020.
Q1
2020.
Frigate Speed Estimation Using CODLAG Propulsion System Parameters and Multilayer Perceptron
Baressi Šegota, S., Lorencin, I., Musulin, J., Štifanić, D., & Car, Z.
NAŠE MORE: znanstveni časopis za more i pomorstvo, 67(2), 117-125.
Q2
2020.
Dataset Size-based Approach in Design of Artificial Neural Network for Breast Cancer Diagnosis
Lorencin, I., Anđelić, N., Baressi Šegota, S., Štifanić, D., Musulin, J., Mrzljak, V., ... & Car, Z.
World of Health, 3, 13, 19
2020.
COMPARISON OF THREE ARTIFICIAL INTELLIGENCE ALGORITHMS FOR SEPSIS PREDICTION
Jelena Musulin, Daniel Štifanić, Ivan Lorencin, Sandi Baressi Šegota, Nikola Anđelić, Emanuel Borović, Alen Protić, Zlatan Car
World of Health
2020.
The Leakage of Steam Mass Flow Rate through the Gland Seals–Influence on Turbine Produced Power
Mrzljak, V., Kudláček, J., Begić-Hajdarević, Đ., & Musulin, J
Pomorski zbornik, 58(1), 39-56.
2020.
Use of Convolutional Neural Network for Fish Species Classification
Štifanić, D., Musulin, J., Car, Z., & Čep, R
Pomorski zbornik, 59(1), 131-142.
Znanstvene knjige
2021.
In Enabling AI Applications in Data Science - Edge detector-based hybrid artificial neural network models for urinary bladder cancer diagnosis.
Lorencin, I., Anđelić, N., Šegota, S. B., Musulin, J., Štifanić, D., Mrzljak, V., ... & Car, Z.
Springer, Cham.
Kongresna priopćenja
2020.
Forecasting Dow Jones Industrial Average Index Movement Using Long Short-Term Memory network
Štifanić, D., Musulin, J., Jukić, A., & Car, Z.
Abstract and Presentation
5th International Workshop on Data Science
2020.
Bladder cancer detection: Integration of feature extraction algorithms and MLP
Musulin, J., Smolčić, K., Štifanić, D., Španjol, J., & Car, Z
Abstract and Presentation
5th International Workshop on Data Science
2020.
Bladder cancer detection: Integration of feature extraction algorithms and MLP
Musulin, J., Smolčić, K., Štifanić, D., Španjol, J., & Car, Z.
Abstract and Presentation
4th My First Conference Rijeka
2020.
Energy and exergy evaluation of co2 closed-cycle gas turbine
Lorencin, I., Štifanić, D., Musulin, J. & Mrzljak, V.
Article and Poster
Trans Motauto World, 2020
2020.
Energy and exergy analysis of deaerator from combined-cycle power plant
Mrzljak, V., Prpić-Oršić, J., Musulin, J., Štifanić, D.
Article and Poster
Trans Motauto World, 2020
Recenzije
2021.
A Simulation Based Artificial Intelligence Model of Preventative Testing of SARS-CoV-2 in Schools; journal Electronics, MDPI
2021.
Modelling the COVID-19 impact on stock movement: statistical analysis and deep learning based prediction; journal Expert Systems with Applications, Elsevier
2020.
Convolutional Bi-directional LSTM based study to forecast COVID-19 in Algeria; journal, New Generation Computing, Source: Springer Nature
Javno djelovanje
Novinski članci
05.04.2020.
I riječkom Burom u borbu protiv korone: Umjetna inteligencija razvija model širenja novog virusa
Novi List - Tisak i Online
Rijeka
Medijski nastupi
06.04.2020.
COVID-19 i umjetna inteligencija
Kanal Ri
Rijeka
Projekti
Znanstveni projekti
6.2020. - 12.2020.
USE OF REGRESSIVE ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) METHODS IN MODELLING OF COVID-19 SPREAD – COVIDAI
Suradnica
CEI
3.2020. -
Centar Kompetencija za Pametne Gradove - SmartCity.4DII
Stručna suradnica
EU
12.2019. -
DATACROSS Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima
Stručna suradnica
EU
Projekti u znanosti - Suradnik na projektu
Prof.dr.sc.Zlatan Cardipl.ing.str.
Razvoj inteligentnog ekspertnog sustava za online diagnostiku raka mokračnog mjehura
Tehničke znanosti