Abstract: This paper is concerned with the resilient distributed state estimation issue for smart grids under probabilistic encoding-decoding scheme and randomly occurring deception attacks. Due to ...

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...

The final, formatted version of the article will be published soon. Background. Federated learning (FL) could boost deep learning in neuroimaging but is rarely deployed in a real-world scenario, where ...

Abstract: This paper investigates the set-membership state estimation problem for a class of networked time-varying systems with multi-rate measurements over half-duplex relay communication networks.