@misc{Kebir_Oussama_ATiPreTA:,
 author={Kebir, Oussama and Nouaouri, Issam and Rejeb, Lilia and Ben Said, Lamjed},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={In counter-terrorism actions, commanders are confronted with difficult and important challenges. Their decision-making processes follow military instructions and must consider the humanitarian aspect of the mission. In this paper, we aim to respond to the question: "What would the casualties be if governmental forces reacted in a given way with given resources?" Within a similar context, decision-support systems are required due to the variety and complexity of modern attacks as well as the enormous quantity of information that must be treated in real time.},
 abstract={The majority of mathematical models are not suitable for real-time events. Therefore, we propose an analytical model for a time-dependent prediction of terrorist attacks (ATiPreTA). The output of our model is consistent with casualty data from two important terrorist events known in Tunisia: Bardo and Sousse attacks. The sensitivity and experimental analyses show that the results are significant. Some operational insights are also discussed.},
 type={artykuł},
 title={ATiPreTA: An analytical model for time-dependent prediction of terrorist attacks},
 keywords={terrorist attacks, attack classification, mathematical modeling, dynamic behavior simulation, damage prediction},
}