Efficient spectrum sharing is essential for maximizing data communication performance in Vehicular Networks (VNs).In this article, we propose a novel hybrid framework that leverages Multi-Agent Reinforcement Learning (MARL), thereby combining both centralized and decentralized learning approaches.This framework addresses scenarios where multiple ve

Objective: To study the current status and applications of additive manufacturing (AM) in dentistry along with various technologies, benefits and future scope.Methods: A significant number of relevant research papers on the additive manufacturing application in dentistry are identified through Scopus and studied using bibliometric analysis that Ott

An optical-electronic correlation-extreme navigation system for an unmanned aerial vehicle has been developed.The proposed navigation system is characterized by the use of a small-sized and affordable digital camera and computer, which is critical for small military unmanned aerial vehicles.The developed algorithmic support for the system is 5 Piec

In this study, the effect of suction flow control on a Camera centrifugal compressor at operation and stall flow rates was investigated using computational fluid dynamics (CFD).The compressor geometry was reconstructed from available open source profile data and the CFD analyses have been performed on this geometry using the appropriate mesh.To val