Researchers from Sun Yat-sen University’s Shenzhen Campus, led by WenYuan Yang and Gege Jianga, have developed a decentralized federated learning framework, DFUN-KDF, to enhance UAV network efficiency ...

When AI is typically discussed, it usually centers around computation in a classical sense - processors, control algorithms, ...

As AI, model-based systems engineering and digital thread strategies evolve, they're transforming how organizations define ...

Researchers measuring the salinity of the Southern Ocean did find unexpected results, but some online reports got the details ...

Traditional geotechnical monitoring methods often face limitations in terms of accuracy, real-time performance, and comprehensiveness. The emergence of ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

Communication-Efficient Adam-Type Algorithms for Distributed Data Mining Distributed data mining is an emerging research topic to effectively and efficiently address hard data mining tasks using big ...

Third, we create a balanced index structure about the shares for each cloud storage node based on the information in the blockchain, and we also propose a depth-first data search algorithm to improve ...

BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...