Zobrazeno 1 - 10
of 358
pro vyhledávání: '"Predictive algorithm"'
Publikováno v:
Journal of Asthma and Allergy, Vol Volume 17, Pp 653-666 (2024)
Mario Castro,1 Merrill Zavod,2 Annika Rutgersson,3 Magnus Jörntén-Karlsson,4 Bhaskar Dutta,5 Lynn Hagger6 1Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USA; 2User Experience, Ast
Externí odkaz:
https://doaj.org/article/8ea31e54128d4acda8efed623f77c345
Publikováno v:
IEEE Access, Vol 12, Pp 53633-53645 (2024)
This article proposes an event-triggered resilient control algorithm for cigarette weight control systems to defend against denial of service attacks (DoS) attacks and false data injection (FDI) attacks. First, the mathematical model of the system is
Externí odkaz:
https://doaj.org/article/0a47a66ed1374cab8f2b275193b872f3
Autor:
Bernhard T. Baune, Alessandra Minelli, Bernardo Carpiniello, Martina Contu, Jorge Domínguez Barragán, Chus Donlo, Ewa Ferensztajn-Rochowiak, Rosa Glaser, Britta Kelch, Paulina Kobelska, Grzegorz Kolasa, Dobrochna Kopeć, María Martínez de Lagrán Cabredo, Paolo Martini, Miguel-Angel Mayer, Valentina Menesello, Pasquale Paribello, Júlia Perera Bel, Giulia Perusi, Federica Pinna, Marco Pinna, Claudia Pisanu, Cesar Sierra, Inga Stonner, Viktor T. H. Wahner, Laura Xicota, Johannes C. S. Zang, Massimo Gennarelli, Mirko Manchia, Alessio Squassina, Marie-Claude Potier, Filip Rybakowski, Ferran Sanz, Mara Dierssen
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2024)
Major depressive disorder (MDD) is the most common psychiatric disease worldwide with a huge socio-economic impact. Pharmacotherapy represents the most common option among the first-line treatment choice; however, only about one third of patients res
Externí odkaz:
https://doaj.org/article/ebddcf97a00d4ab893aa34bffa18bb67
Publikováno v:
IEEE Access, Vol 11, Pp 41281-41302 (2023)
Enhancing the operational resilience of the distribution system network (DSN) proactively in a hurricane-prone region requires a pre-hurricane event DSN optimization model, built on accurate hurricane-induced DSN line damage prediction scenarios. In
Externí odkaz:
https://doaj.org/article/bdfeaae211814016beb6bbbca5cd5583
Autor:
Pericle Salvini, Tyler Reinmund, Benjamin Hardin, Keri Grieman, Carolyn Ten Holter, Aaron Johnson, Lars Kunze, Alan Winfield, Marina Jirotka
Publikováno v:
Frontiers in Political Science, Vol 5 (2023)
This paper draws on three case studies to examine some of the challenges and tensions involved in the use of Autonomous Decision-Making Systems (ADMS). In particular, the paper highlights: (i) challenges around the shifting “locale” of the decisi
Externí odkaz:
https://doaj.org/article/1fa9473d113445fa970f31a655393044
Autor:
Andrey Reshetnikov, Vitalii Berdutin, Alexander Zaporozhtsev, Sergey Romanov, Olga Abaeva, Nadezhda Prisyazhnaya, Nadezhda Vyatkina
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-19 (2023)
Abstract Background Outbreaks of infectious diseases are a complex phenomenon with many interacting factors. Regional health authorities need prognostic modeling of the epidemic process. Methods For these purposes, various mathematical algorithms can
Externí odkaz:
https://doaj.org/article/e916b1d177cb4c939558374f3d6bc3a9
Publikováno v:
Aerospace, Vol 11, Iss 4, p 300 (2024)
Many of the reports created at assembly lines, where all components of an aircraft are installed, frequently indicate that errors threaten safety. The proposed methodology in this study evaluates error prediction and risk mitigation to prevent failur
Externí odkaz:
https://doaj.org/article/fe2d8bd4e200487599f6383ade6c217f
Akademický článek
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Publikováno v:
Linguistic and Philosophical Investigations. (21):219-235
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1045824
Autor:
Matthijs S. van der Leeuw, Marianne A. Messelink, Janneke Tekstra, Ojay Medina, Jaap M. van Laar, Saskia Haitjema, Floris Lafeber, Josien J. Veris-van Dieren, Marlies C. van der Goes, Alfons A. den Broeder, Paco M. J. Welsing
Publikováno v:
Arthritis Research & Therapy, Vol 24, Iss 1, Pp 1-11 (2022)
Abstract Background Biological disease-modifying antirheumatic drugs (bDMARDs) are effective in the treatment of rheumatoid arthritis. However, as bDMARDs may also lead to adverse events and are expensive, tapering them is of great clinical interest.
Externí odkaz:
https://doaj.org/article/b92d4cd330bb41329143ebcf30cce34d