Intelligent Systems Research (United States)

Ergodic control of multi-agent systems under communication constraints

We study decentralised ergodic control for multi-agent systems operating over stochastic, lossy communication graphs. Each agent follows controlled stochastic dynamics with uniformly elliptic noise on a compact domain and aims to align its occupation measure with a prescribed tar...

Non-RA screening for systemic autoimmune rheumatic diseases using a machine learning model based on physical findings and blood test data

Abstract Background In patients with systemic autoimmune rheumatic diseases (SARDs), particularly patients with non-rheumatoid arthritis (non-RA), the incidence of severe conditions such as interstitial pneumonia and pulmonary arterial hypertension is high. Therefore, early refer...