Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...

The cohort was randomly divided into training and testing datasets in a 7:3 ratio, and multiple ML techniques were used to develop an algorithm for optimizing initial vancomycin dosing. The optimal ...

In this video we are going to learn how to solve multi-step equations with variables on both sides Corrections: 11:27 Made a mistake. It's positive 9y. Leavitt fires back at reporter over question on ...

It seems at times harder than ever to break through the clutter of social media, but we've started seeing bands and other businesses and brands finding a way to game the algorithm to garner some ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Abstract: Mobile edge computing (MEC) has revolutionized the way computational tasks are offloaded and latency is reduced by leveraging edge servers close to end devices. Efficient resource allocation ...