Zdravko Kunić

1. KUNIĆ, Zdravko, KOPAL, Robert, BOSHKOSKA, Biljana Mileva. Wind forecast correction in road traffic management decision support system. V: RODIČ, Blaž (ur.). Book of Abstracts. Novo mesto: Faculty of Information Studies, 2017. Str. [11]. http://itis.fis.unm.si/wp-content/uploads/2017/12/ITIS-2017-Book-of-Abstracts.pdf. [COBISS.SI-ID 2048483347]

2. VITASOVIC, Leo, KUNIĆ, Zdravko, MRŠIĆ, Leo. Automatic video editor for reportages assisted by unsupervised machine learning. V: HONG, Tzung-Pei (ur.), et al. Recent challenges in intelligent information and database systems : 13th Asian conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021 : proceedings. Singapore: Springer, 2021. Str. 301-309, ilustr. Communications in computer and information science (Internet), 1371. ISBN 978-981-16-1685-3, ISBN 981-16-1685-X, ISBN 978-981-16-1684-6. ISSN 1865-0937. DOI: 10.1007/978-981-16-1685-3_25. [COBISS.SI-ID 73060099]

3. KUNIĆ, Zdravko, ŽENKO, Bernard, BOSHKOSKA, Biljana Mileva. FOCUSED-short-term wind speed forecast correction algorithm based on successive nwp forecasts for use in traffic control decision support systems. Sensors. 2021, vol. 21, no. 10, str. 3405-1-3405-17. ISSN 1424-8220. DOI: 10.3390/s21103405. [COBISS.SI-ID 64656899]

4. KUNIĆ, Zdravko. Algorithm for short-time correction of wind speed forecasting models : doctoral dissertation = Algoritem za kratkoročno korekcijo modelov za napovedanje hitrosti vetra. Novo mesto: [Z. Kunić], 2023. XXI, 114 str., ilustr. http://revis.openscience.si/IzpisGradiva.php?id=10076. [COBISS.SI-ID 169283843]

5. DAKIĆ, Vedran, MRŠIĆ, Leo, KUNIĆ, Zdravko, ĐAMBIĆ, Goran. Evaluating ARM and RISC-V Architectures for High-Performance Computing with Docker and Kubernetes. Electronics. 2024, vol. 13, no. 17, str. 1-28, ilustr. ISSN 2079-9292. DOI: 10.3390/electronics13173494. [COBISS.SI-ID 208247299]

6. KUNIĆ, Zdravko, MRŠIĆ, Leo, ĐAMBIĆ, Goran, RAŽOV, Tomislav. Innovative air-preconditioning method for accurate particulate matter sensing in humid environments. Sensors. 2024, vol. 24, iss. 17, art. 5477, str. 1-19, ilustr. ISSN 1424-8220. https://www.mdpi.com/1424-8220/24/17/5477, DOI: 10.3390/s24175477. [COBISS.SI-ID 207935235]