Sentinels for the Identification of Pollution in Domains with Missing Data

2a8200e6-4601-43f9-947c-2ef5cc3ec2b720240329052352979wseas:wseasmdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON SYSTEMS AND CONTROL2224-28561991-876310.37394/23203http://wseas.org/wseas/cms.action?id=40731220231220231810.37394/23203.2023.18https://wseas.com/journals/sac/2023.phpSentinels for the Identification of Pollution in Domains with Missing DataRezzougImadDepartment of Mathematics and Computer Science, University of Oum El Bouaghi, Laboratory of Dynamics systems and control, ALGERIAAchabFatmaDepartment of Mathematics and Computer Science, University of Oum El Bouaghi, Laboratory of Dynamics systems and control, ALGERIASentinel method introduced in the study of problems with incomplete data, particularly in the context of distributed systems where pollution terms may arise at the boundary. The idea of sentinel likely involves constructing a surrogate or placeholder value that helps account for missing data or uncertainties in the system. Weakly sentinel appears to be a modification or extension of the concept of a sentinel specifically tailored for estimating pollution terms in distributed systems with missing data. The term weakly might suggest that this sentinel is not as robust or precise as the ideal sentinel, but it serves a similar purpose in providing estimates or approximations in situations where complete data is not available.123120231231202366967668https://wseas.com/journals/sac/2023/b385103-046(2023).pdf10.37394/23203.2023.18.68https://wseas.com/journals/sac/2023/b385103-046(2023).pdf10.1111/j.1651-2227.2005.tb01779.xM. Rutter. Incidence of autism spectrum disorders: Changes over time and their meaning. Acta Paediatrica. 2007. https://doi.org/10.1111/j.1651- 2227.2005.tb01779.x D.C. Bernard and E.G. Morton. Thermodynamics with Internal State Variables. J. Chem. Phys. 47, 597–613 (1967). https://doi.org/10.1063/1.1711937 10.1038/sj.onc.1208615S. Harris and A. Levine. 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