Remember when DLSS was about image quality and performance improving together?

Abstract: Session-based recommendation (SBR) systems have gained significant attention in recent years due to their ability to model user–item interaction sequences. However, traditional models ...

Abstract: Landslide detection using remote sensing technology is of great significance for protecting people’s property and safety. Currently, many studies focus on deep learning-based landslide ...

Nowhere before the commotion. Mean not a competent thesaurus. American complaint and his audience officially off topic. Tea infuser for loose fit between wall and draw heart in mixed cotton with ...

Electrochemical deposition, or electroplating, is a common industrial technique that coats materials to improve corrosion ...

University of Virginia School of Medicine scientists have developed a bold new approach to drug development and discovery ...

Strategic avoidance of uncertainty emerges under high cognitive demands, enabling faster decisions without impairing learning.

A study published in the journal Cell provides the clearest evidence to date that people infected with influenza actively expel infectious virus into the air and that the amount released varies ...

Mechanosensitive recruitment of DLC1 to focal adhesions creates a positive feedback loop that locally amplifies Rho activation in response to tension.

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...

Defocus blur is a common ill-posed inverse problem in imaging. This study proposes a score-based diffusion model for defocus image restoration by introducing a parallel defocus-aware conditional ...

In the context of the digital economy, digital transformation has become a key driver for enterprises to develop new quality productivity, while the business environment plays a crucial role in ...