Abstract: Deep learning techniques have seen widespread application in seismic inversion, yet they face significant challenges when applied to fracture property inversion. The limited availability of ...
Abstract: This paper considers real-time control and learning problems for finite-dimensional linear systems under binary-valued and randomly disturbed output observations, which arise in various ...
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