In the modern digital era, fraud in programmatic advertising has become a multi-billion-dollar challenge, threatening the ...

Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.

The integration of data science into electrocatalysis has significantly advanced the discovery of high-performance catalysts for sustainable energy ...

Abstract: This research outlines the significance of semi-supervised machine learning (SSML) in dealing with the intricate ... generative models, and graph-based methods, highlighting their particular ...

Nevertheless, prior methods have predominantly centered on supervised learning, which necessitates a reliance on costly labeled datasets. In response to this challenge, graph contrastive learning ...

Emerging markets are becoming a driving force in global e-commerce. The ability to deliver smart, relevant, and culturally ...

Data science has revolutionized the hunt for high-performing catalysts, enabling scientists to quickly identify and test ...

This study exploring the role of TRPV1 signaling in recruiting macrophages and promoting angiogenesis during tympanic membrane wound healing presents useful findings. However, the strength of evidence ...

Our software suite encompasses cutting-edge data pre-processing and post-processing modules. A novel semi-supervised framework combining contrastive learning with hierarchical probabilistic graphical ...