This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...

During the recent decade, deep learning technology, particularly deep neural network (DNN), has gained tremendous popularity in various fields including signal processing (SP). As a data-driven ...

Immigration and Customs Enforcement (ICE) is surveying the commercial advertising technology market for tools capable of supplying location data and large-scale analytics to federal investigators, ...

Abstract: We consider the problem of designing a state-feedback controller for a linear system, based only on noisy input-state data. We focus on input-state data corrupted by measurement errors, ...

Abstract: This article deals with data-driven stability analysis and feedback stabilization of linear input–output systems in autoregressive (AR) form. We assume that noisy input–output data on a ...