Faculty of Computer Science and Engineering
Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/5
The Faculty of Computer Science and Engineering (FCSE) within UKIM is the largest and most prestigious faculty in the field of computer science and technologies in Macedonia, and among the largest
faculties in that field in the region.
The FCSE teaching staff consists of 50 professors and 30 associates. These include many “best in field” personnel, such as the most referenced scientists in Macedonia and the most influential professors in the ICT industry in the Republic of Macedonia.
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Item type:Publication, Classification and Analysis of Cyberattacks in the Western Balkans Countries - with a focus on the treatment of policy violations and strategies that states use to protect against attacks(Research Square Platform LLC, 2023-02-13) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, LLM-Based Text Style Transfer: Have We Taken a Step Forward?(Institute of Electrical and Electronics Engineers (IEEE), 2025-03-06); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Integrated model for assessing the dual role of biomass in energy transition and forest carbon dynamics(2025) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Social acceptance dynamics and predictive scenario analysis of waste management policy(2025) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Aligning economic feasibility, investor perceptions, and media narratives in renewable energy transitions: A socio-economic systems perspective(Elsevier BV, 2025-12) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Towards smart 6G: Mobility prediction for dynamic edge services migration(Elsevier BV (Netherlands), 2026-02-01); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Advancing Image Spam Detection: Evaluating Machine Learning Models Through Comparative Analysis(MDPI AG, 2025-05-30); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Entropy and Complexity in QEEG Reveal Visual Processing Signatures in Autism: A Neurofeedback-Oriented and Clinical Differentiation Study(Multidisciplinary Digital Publishing Institute (Switzerland), 2025-09-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Entropy, complexity, and spectral features of EEG signals in autism and typical development: a quantitative approach(Frontiers Media SA (Switzerland), 2025-02-04); - Some of the metrics are blocked by yourconsent settings
Item type:Publication,