Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...

The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular ...

In 1789, rumours spread like a virus across France: gangs of bandits were attacking villages, destroying crops and terrorizing peasants, mobilized by nobles trying to suppress political unrest. None ...

From Stable Diffusion to DiT and the FLUX series, the community has explored many technical methods to accelerate generation speed and improve generation quality. However, development has always ...

From Stable Diffusion to DiT and the FLUX series, the community has explored many technical methods to accelerate generation speed and improve generation quality. However, development has always ...

There are events of the year, persons of the year, images of the year.... We could not resist: why not a Method of the Year? Methods are a driving force of scientific progress. We think they should be ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Chip Stapleton is a Series 7 and Series 66 ...

David Kindness is a Certified Public Accountant (CPA) and an expert in the fields of financial accounting, corporate and individual tax planning and preparation, and investing and retirement planning.

Abstract: Polarimetric calibration (PolCal) is essential for the quantitative processing of polarimetric synthetic aperture radar data. Traditional distributed target methods typically require at ...

In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s, senior ...

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, ...