Abstract: This study investigates the problem of designing countermeasures for resilient output time-varying formation-tracking of multi-agent systems (MASs) in a composite hazardous scenario ...
Abstract: The application of artificial intelligence and deep learning in cardiology has great potential for diagnostics and prevention of cardiovascular diseases. This work contributes to the ...