Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...

A new role for extracellular matrix remodelling in Rheumatoid Arthritis (RA) pathology has been discovered. Dynamic collagen ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Unfortunately, satellite signals are weak and a strong interference signal can create a GNSS denial region. The solution ...

We also prove that the two sets of Maxwell equations only depend on the non-linear elations of the conformal group of ...

Generative models based on flow matching have attracted significant attention for their simplicity and superior performance in high-resolution image synthesis. By leveraging the instantaneous ...

USACE's Buffalo District uses matrix teams to unite diverse roles and expertise, delivering solutions for the nation’s toughest infrastructure challenges.

Abstract: One of the objectives of solving electromagnetic inverse scattering problems is to extract information about an unknown under-test object from the scattered waveform. One approach to solving ...

With three years spent researching, comparing, and testing software products, Tyler Webb is an expert on all things telecommunications. With work featured on GetVoIP.com, he's written over 150 ...

Use these skills and tools to make the most of it. by Antonio Nieto-Rodriguez Quietly but powerfully, projects have displaced operations as the economic engine of our times. That shift has been a long ...