The university library will be closed from December 20, 2025 to January 11, 2026. From January 12, 2026, regular opening hours will apply again. Exception: The main medical library and the central library will be open again from January 5, 2026. Further information
ISO-690 (author-date, English)

GUMIŃSKI, Adam and MOHAMED, Mohamed, 2025. MACHINE LEARNING MODEL OF RISK ANALYSIS IN PROJECTS – CASE STUDY. Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie. 15 November 2025. No. 230, p. 137-147. DOI 10.29119/1641-3466.2025.230.8.

Elsevier - Harvard (with titles)

GUMIŃSKI, A., MOHAMED, M., 2025. MACHINE LEARNING MODEL OF RISK ANALYSIS IN PROJECTS – CASE STUDY. Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie 137-147. https://doi.org/10.29119/1641-3466.2025.230.8

American Psychological Association 7th edition

GUMIŃSKI, A., & MOHAMED, M. (2025). MACHINE LEARNING MODEL OF RISK ANALYSIS IN PROJECTS – CASE STUDY. Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji I Zarzadzanie, 230, 137-147. https://doi.org/10.29119/1641-3466.2025.230.8

Springer - Basic (author-date)

GUMIŃSKI A, MOHAMED M (2025) MACHINE LEARNING MODEL OF RISK ANALYSIS IN PROJECTS – CASE STUDY.. Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie 137-147. https://doi.org/10.29119/1641-3466.2025.230.8

Juristische Zitierweise (Stüber) (Deutsch)

GUMIŃSKI, Adam/ MOHAMED, Mohamed, MACHINE LEARNING MODEL OF RISK ANALYSIS IN PROJECTS – CASE STUDY., Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie 2025, 137-147.

Warning: These citations may not always be 100% accurate.