Abstract: Seismic high-resolution reconstruction is a key step in retrieving high-resolution components to characterize subsurface geological structures. Recently, deep learning (DL) has emerged as an ...

Abstract: Energy-efficiency (EE) is a critical metric within wireless optimization. Power control over fading channels is considered as a promising EE-improving technique, but requires optimization of ...

When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...

In this work, we propose an unsupervised deep learning model to address multi-focus image fusion problem. First, we train an encoder-decoder architecture in unsupervised manner to acquire deep feature ...

Designing an unsupervised image denoising approach in practical applications is a challenging task due to the complicated data acquisition process. In the realworld case, the noise distribution is so ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability ...

A steer-by-wire bicycle reliably distinguishes between cornering and unstable riding conditions, enhancing riding safety.

Howdy, pards, here's a quick roundup of the week's science news: Moose, previously thought to be a transplanted species, are ...

A study published in Nature Physics provides new molecular-level evidence from simulations that liquid water is not a single ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

Overview AI and big data posted the sharpest jump on WEF's 2025 skills ranking, up 17 percentage points in two years, while ...

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ML-driven cell-based assays.