Urban traffic congestion and energy inefficiency are critical challenges in modern cities, exacerbated by rapid vehicle proliferation and urbanization. This paper investigates how artificial intelligence (AI) can optimize traffic systems and reduce energy consumption through machine learning (ML), predictive analytics,...
Vesna Vesna Radojčić, M. Dobrojević, S. Adamovic et al.· ZBORNIK RADOVA UNIVERZITETA...· 0 citations
The increasing sophistication and volume of malware pose a persistent and evolving threat to cybersecurity. The research paper systematically examines and compares various malware detection techniques, including traditional methods such as signature, heuristic, and anomaly detection, and more advanced methods such as b...
A. Cvetkovic, S. Adamovic, Marko Šarac· ZBORNIK RADOVA UNIVERZITETA...· 0 citations
Evaluated tree-based ensemble models, Random Forest, XGBoost, and LightGBM, for static malware detection in PE files show that tree-based ensembles outperform deep learning models, such as Multilayer Perceptrons (MLPs) and Convolutional Neural Networks (CNNs), as well as traditional machine learning approaches in handl...
Aleksandar Sandro Cvetković, S. Adamovic, Marko Šarac· SINTEZA· 0 citations
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