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Jing Chen, Gang Zhou, Jicang Lu, Shiyu Wang and Shunhang Li
Fake news detection has become a significant topic based on the fast-spreading and detrimental effects of such news. Many methods based on deep neural networks learn clues from claim content and message propagation structure or temporal information, whic...
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Tarik El Lel, Mominul Ahsan and Julfikar Haider
Starting in late 2019, the coronavirus SARS-CoV-2 began spreading around the world and causing disruption in both daily life and healthcare systems. The disease is estimated to have caused more than 6 million deaths worldwide [WHO]. The pandemic and the ...
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Chenfeng Li, Jiayin Mao, Zixiong Kang, Shengzhu Zhao and Huilong Ren
The purpose of this paper is to investigate and evaluate the ship engine room fire spreading characteristics based on the effect of firefighting interventions. The large eddy simulation (LES) and theoretical models are employed to simulate a fire scene i...
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Nabeel H. Al-Salim, Muna H. Jaber, Rafea F. Hassan, Nisreen S. Mohammed and Husam H. Hussein
Fiber-reinforced concrete is widely acknowledged for its ability to resist cracking effectively and limit its propagation. By preventing cracks from spreading, the addition of fiber composites to concrete can enhance its extensibility and tensile strengt...
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Daniel Stoll, Maximilian Kerner, Simon Paas and Sergiy Antonyuk
The measurement and assessment of indoor air quality in terms of respirable particulate constituents is relevant, especially in light of the COVID-19 pandemic and associated infection events. To analyze indoor infectious potential and to develop customiz...
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Ewa Dabrowska
The paper deals with an important issue related to the identification, modelling, and prediction of environmental pollution in aquatic ecosystems of the Baltic Sea caused by anthropopressure. Water ecosystems are in danger nowadays because of the negativ...
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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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Camilla Palmiotto, Eleonora Ficini, Maria Filomena Loreto, Filippo Muccini and Marco Cuffaro
The Lau Basin is a back-arc region formed by the subduction of the Pacific plate below the Australian plate. We studied the regional morphology of the back-arc spreading centers of the Northern Lau basin, and we compared it to their relative spreading ra...
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João Sequeira, Jorge Louçã, António M. Mendes and Pedro G. Lind
We analyze the empirical series of malaria incidence, using the concepts of autocorrelation, Hurst exponent and Shannon entropy with the aim of uncovering hidden variables in those series. From the simulations of an agent model for malaria spreading, we ...
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Tahir Ahmad, Muhammad Shahzad Faisal, Atif Rizwan, Reem Alkanhel, Prince Waqas Khan and Ammar Muthanna
The spreading of accidental or malicious misinformation on social media, specifically in critical situations, such as real-world emergencies, can have negative consequences for society. This facilitates the spread of rumors on social media. On social med...
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