As an emerging paradigm in scientific machine learning, neural operators aim to learn operators, via networks, that map between infinite-dimensional function spaces. Several have been recently developed. However, all the existing are only designed defined on a single Banach space; i.e., input of operator is function. Here, for first time, we study regression networks multiple-input product We p...

In recent years, significant effort has been allocated to research on multiple-input–multiple-output (MIMO) sound navigation and ranging (SONAR) RADAR systems. Most work conducted the general theoretical functionality of such Less applied considerations real-time MIMO capability, although this is an important factor for application these new algorithms in real SONAR To account this, following f...