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Vasileios Thomopoulos and Kostas Tsichlas
In this research, we present the first steps toward developing a data-driven agent-based model (ABM) specifically designed for simulating infectious disease dynamics in Greece. Amidst the ongoing COVID-19 pandemic caused by SARS-CoV-2, this research hold...
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Shubhankar Sengupta, Dmitry V. Kovalevsky, Laurens M. Bouwer and Jürgen Scheffran
Coastal flood risk and sea-level rise require decisions on investment in coastal protection and, in some cases, the relocation of urban areas. Models that formalize the relations between flooding costs, protective investments, and relocation can improve ...
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Yonghua Huang, Zhongyang Guo, Hao Chu and Raja Sengupta
China?s university dormitories have high population densities, which can result in a large number of casualties because of crowding and stampedes during emergency evacuations. It is therefore important to plan properly for evacuations by mitigating the e...
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Damianos P. Sakas, Nikolaos T. Giannakopoulos, Marina C. Terzi and Nikos Kanellos
Deep learning has experienced an increased demand for its capabilities to categorize and optimize operations and provide higher-accuracy information. For this purpose, the implication of deep learning procedures has been described as a vital tool for the...
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Vladislav N. Gezha and Ivan V. Kozitsin
The opinion dynamics literature argues that the way people perceive social influence depends not only on the opinions of interacting individuals, but also on the individuals? non-opinion characteristics, such as age, education, gender, or place of reside...
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Sybert Stroeve
TCAS II is a rule-based airborne collision avoidance system (ACAS) that is used in current commercial air transport operations, and ACAS Xa is a new optimization-based system. Operational validation studies have mainly used deterministic simulations of A...
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Christopher J. Lynch, Erik J. Jensen, Virginia Zamponi, Kevin O?Brien, Erika Frydenlund and Ross Gore
Large language models (LLMs) excel in providing natural language responses that sound authoritative, reflect knowledge of the context area, and can present from a range of varied perspectives. Agent-based models and simulations consist of simulated agent...
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Mattia Pellegrino, Gianfranco Lombardo, Stefano Cagnoni and Agostino Poggi
This paper presents an approach for the modeling and the simulation of the spreading of COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to support large-scale simulations but also to increase the simulation resolution. ...
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Jaap-Willem Sjoukema, Jalal Samia, Arnold K. Bregt and Joep Crompvoets
The development of a European Spatial Data Infrastructure (SDI) officially started with the entry into force of the INSPIRE Directive in 2007. INSPIRE?s implementation phase should be completed by the European Union (EU) and its member states at the end ...
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Paola Lorusso, Melissa De Iuliis, Sebastiano Marasco, Marco Domaneschi, Gian Paolo Cimellaro and Valentina Villa
In the last few years, modern technologies such as numerical simulations, virtual and augmented reality, and agent-based models represented effective tools to study phenomena, which may not be experimentally reproduced due to costs, inherent hazards, or ...
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