Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

A group of five to six giant pythons was spotted near a temple in Kangra district, Himachal Pradesh Locals initially mistook the coiled snakes for tree roots before noticing movement after a stone was ...

Josip Stanisic is having his best season yet at Bayern Munich. The record champions have clearly recognised his new status within the club. According to *kicker*, FC Bayern have apparently declared ...

Conclusions: These findings suggest that the physician-pharmacist collaborative model could improve the long-term quality and efficiency of T2D management and reduce medical costs in underresourced ...

Abstract: The researchers focus on the security issues of underwater wireless sensor networks (UWSNs) due to the specificity of network environment. In recent years, researchers have proposed trust ...

🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework. Our vision is to revolutionize how AI agents ...

Abstract: Sample-anchor co-clustering has demonstrated potential in improving clustering efficiency; however, existing methods face two major limitations. First, the intrinsic geometric relationships ...