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Artemiy Belousov, Ivan Kisel, Robin Lakos and Akhil Mithran
Algorithms optimized for high-performance computing, which ensure both speed and accuracy, are crucial for real-time data analysis in heavy-ion physics experiments. The application of neural networks and other machine learning methodologies, which are fa...
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Bojan Ilijoski, Katarina Trojachanec Dineva, Biljana Tojtovska Ribarski, Petar Petrov, Teodora Mladenovska, Milena Trajanoska, Ivana Gjorshoska and Petre Lameski
A bite from a bug may expose the affected person to serious, life-threatening conditions, which may require immediate medical attention. The identification of the bug bite may be challenging even for experienced medical personnel due to the different man...
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Mattia Tomasoni, Giuseppe Esposito, Davide Mugetti, Paolo Pastorino, Nadia Stoppani, Vasco Menconi, Flavio Gagliardi, Ilaria Corrias, Angela Pira, Pier Luigi Acutis, Alessandro Dondo, Marino Prearo and Silvia Colussi
The genus Vibrio currently contains 147 recognized species widely distributed, including pathogens for aquatic organisms. Vibrio infections in elasmobranchs are poorly reported, often with identifications as Vibrio sp. and without detailed diagnostic ins...
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Murad Huseynli, Udo Bub and Michael Chima Ogbuachi
This paper outlines the path towards a method focusing on a process model for the integrated engineering of Digital Innovation (DI) and Design Science Research (DSR). The use of the DSR methodology allows for achieving both scientific rigor and practical...
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N.N. Goglev,S.A. Migalin,E.V. Kasatkina
Pág. 111 - 119
The use of artificial intelligence technologies and big data analysis in risk management makes it possible to reduce the burden on experts and reduce the influence of the human factor in risk assessment. These technologies are well studied and actively u...
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