Tag: denoising

Researchers have introduced ALDA4Rec, an adaptive recommendation model that combines graph denoising, multi-scale embeddings, and dynamic weighting to improve sequential ...

Researchers developed an adaptive denoising method integrating spectral kurtosis, synchrosqueezing transforms, and SURE thresholding to balance noise suppression and waveform ...

A standardized reanalysis of thousands of honey bee microbiome libraries shows that species-level conclusions depend heavily on the 16S region ...

Researchers trained a deep learning model on raw noisy traffic windows to predict expert-filtered targets, cutting forecast errors against the ...

Researchers have developed a self-supervised deep learning model, SA-S2S, that removes random noise from 3D seismic data without requiring clean ...

Researchers at VIT Chennai have developed a compact 4.8-million-parameter AI framework that restores speech degraded by noise, reverberation, and bandwidth ...

Deep learning models trained on 35,060 synthetic image pairs automatically remove salt-and-pepper noise, ring artifacts, and beam-hardening distortions from micro-CT ...

In the generative AI era, the most striking images are often the ones a model invents. A team at King ...

A new training-free algorithm called LORIS cleans Cauchy noise from images using adaptive median centering and Cauchy-IRLS regeneration, beating strong ...

Mayo Clinic researchers show that AI-based spectral reconstruction can halve radiation dose in CT-guided kidney ablations while matching or exceeding ...