Abstract: Detecting anomalies in general ledger data is of utmost importance to ensure the trustworthiness of financial records. Financial audits increasingly rely on machine learning (ML) algorithms ...
Abstract: This paper investigates the distributed fusion filtering problem for a class of two-dimensional nonlinear systems subject to unknown-but-bounded noises over sensor networks using the ...
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