Abstract: Polarimetric Doppler frequency-modulated continuous-wave weather radar produces a tremendous amount of data during the observation of atmospheric conditions. Using conventional signal ...

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 ...

Description: 👉 Learn how to evaluate an expression with the composition of a function and a function inverse. Just like every other mathematical operation, when given a composition of a trigonometric ...

This library provides an implementation of an approximate discrete Radon transform (ADRT) and related routines as a Python module operating on NumPy arrays. Implemented routines include: the forward ...

The inverse Fourier transform (inverse FFT or iFFT) reverses the operation of the Fourier transform and derives a time-domain representation from a frequency-domain dataset. Figure 1. The inverse ...

Abstract: Artificial intelligence (AI) techniques are increasingly being used for the inverse design of microwave devices. However, several challenges, including intensive computation costs for ...

On July 21, 1999, Steve Jobs stood on stage in front of a packed Macworld Expo New York audience and announced a video game that would go on to influence the entire games industry and turn Apple into ...

Microseismic noise suppression is widely used in the exploration of unconventional oil and gas resources. The effective microseismic downhole signals have extremely weak energy and are contaminated by ...

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.

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. There have been many proposals for DRC-compliant inverse design ...

Public databases are an important resource for machine learning research, but their growing availability sometimes leads to “off-label” usage, where data published for one task are used for another.