Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States The Russell H. Morgan Department of Radiology and Radiological Science,The Johns Hopkins ...

The RTCS network features a simplified architecture that reduces the required training samples and allows for easy implementation on integer-8-based encoders, facilitating rapid compressed sensing for ...

Model order reduction allows critical information about sensor placement and experiment design to be distilled from raw fluid mechanics simulation data. In many cases, sensed information in ...

Engineered microbiomes can hugely benefit human, plant, and animal health. However, the diversity and complexity of microbiomes hinder a full understanding, and hence, prediction, of community ...

Photoacoustic tomography (PAT) is a propitious imaging modality, which is helpful for biomedical study. However, fast PAT imaging and denoising is an exigent task in medical research. To address the ...

Department of Chemistry, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Catalonia, Spain ...

We present sparse identification of nonlinear dynamics with shallow recurrent decoders (SINDy-SHRED), which jointly solves the sensing, model reduction and model identification problem with simple ...

In super-resolution microscopy methods based on single-molecule switching, the rate of accumulating single-molecule activation events often limits the time resolution. Here we developed a ...

Compressive Sensing BackProjection (CSBP) is a high resolution backprojection method in frequency domain. It seeks for the sparse representation for the backprojection image using L1-norm inversion ...