A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
Abstract: Full-waveform inversion (FWI) requires an accurate representation of the source wavelet to enhance the reliability of model reconstruction. Traditional wavelet estimation methods depend on ...
Abstract: Microseismic monitoring technology enables accurate and real-time identification of the spatial location and type of geological hazards, serving as a crucial component of early warning ...
We introduce Wavelet Diffusion Neural Operator (WDNO), a novel method for generative PDE simulation and control, to address diffusion models' challenges of modeling system states with abrupt changes ...
This repository contains an implementation of image denoising using Haar wavelets. Wavelet-based denoising is a powerful technique for reducing noise in digital images, particularly Gaussian noise, ...
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