SummaryRFIC design is a complex “dark art” that limits progress in wireless technologies like 5G, autonomous vehicles, and ...

Scales map a dimension of abstract data to a visual representation. Although most often used for encoding data as position, say to map time and temperature to a horizontal and vertical position in a ...

This repository houses ForceFinder, which is a Python project that extends SDynPy (Structural Dynamics Python Libraries) with a comprehensive tool for inverse source estimation (ISE) tasks via ...

Languages have highly diverse structures—e.g. some place verbs first, others elsewhere—and this diversity is remarkably uneven across the globe. In some regions, languages show a variety of verb ...

1 Tianjin Engineering Research Center of Civil Aviation Energy Environment and Green Development, Civil Aviation University of China, Tianjin, China. 2 Groupe d’Acoustigue de l’ Université de ...

(73) Examples of these computer-readable forms include one-hot encoding (transforming categorical data into binary vectors), label encoding (assigning each category a unique integer), and binary ...

Abstract: Power function distribution is used frequently in both reliability and life assessment. However, in some cases, the traditional method fails in parameter estimation of the three-parameter ...

Abstract: Fixed-length segment (FLS) optimization method offers a way to realize the high-efficiency analog inverse design of nanophotonic devices. However, due to the limitation of the variable ...

Two centuries of burning fossil fuels have put more carbon dioxide, a powerful greenhouse gas, into the atmosphere than nature can remove. Technology to remove carbon mechanically is in development ...

The increasing demands for metasurfaces have led researchers to seek effective inverse design methods, which are counting on the developments in the optimization theory and deep learning techniques.

Rayleigh-Taylor (RT) and Richtmyer-Meshkov (RM) instabilities occur in many situations in Nature and technology from astrophysical to atomic scales, including stellar evolution, oceanic flows, plasma ...

To best learn from data about large-scale complex systems, physics-based models representing the laws of nature must be integrated into the learning process. Inverse theory provides a crucial ...