首页|New Artificial Intelligence Findings from Nanchang Institute of Technology Outli ned (Quantum Communication Based Cyber Security Analysis Using Artificial Intell igence With Iomt)
New Artificial Intelligence Findings from Nanchang Institute of Technology Outli ned (Quantum Communication Based Cyber Security Analysis Using Artificial Intell igence With Iomt)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Artificial In telligence have been published.According to news reporting originating from Nan chang,People's Republic of China,by NewsRx correspondents,research stated,"C onnected electronic devices used in healthcare,such as small sensors and actuat ors and other cyber-physical devices,make up what is known as the Internet of M edical Things.By linking these devices,medical monitoring,analysis,and repor ting may become more intelligent and autonomous,ultimately benefiting the patie nt." Financial support for this research came from Hainan Vocational University of Sc ience and Technology Research Support Project.Our news editors obtained a quote from the research from the Nanchang Institute of Technology,"To solve these problems,a thorough plan for monitoring and asse ssing method health needs to be formulated.The application of traditional machi ne learning to massive datasets in a shared computing environment may lead to mo del training and computation that is either too slow to provide accurate results or too fast to produce erroneous results as a consequence of rushed training,b oth of which are detrimental.Key 6G enablers may be seen of as the upcoming par adigms of machine learning (ML),quantum computing,and quantum ML (QML),as wel l as their synergies with communication networks.This research presents a new m achine learning approach to medical cyber physical system (CPS) predictive maint enance using swarm robots.In this case,we use fog computing-integrated soft se nsors to conduct a thorough closed-loop dynamic analysis of the CPS predictive m aintenance.Extreme learning utilising a weighted sliding window.The investigat ion of medical security is then conducted using a kernel decision making system based on probabilistic swarm robotics.In terms of training accuracy,energy use,convergence ratio,precision,and F_measure,an experimental stud y is conducted.The system's ability to (i) avoid unscheduled downtime and (ii) consequently increase operational availability sets it apart from other systems."
NanchangPeople's Republic of ChinaAs iaArtificial IntelligenceCybersecurityCyborgsEmerging TechnologiesMach ine LearningNanchang Institute of Technology
NETL
NSTL
