首页|Researchers from Federal University Rio de Janeiro Discuss Findings in Machine L earning (A Survey of Public Datasets for O-ran: Fostering the Development of Mac hine Learning Models)
Researchers from Federal University Rio de Janeiro Discuss Findings in Machine L earning (A Survey of Public Datasets for O-ran: Fostering the Development of Mac hine Learning Models)
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 DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Rio de Janeiro, Bra zil, by NewsRx journalists, research stated, “The O-RAN architectureallows for unprecedented flexibility in Radio Access Networks (RANs). O-RAN’s components de signedto control RANs, such as RAN Intelligent Controllers (RICs), places intel ligence at the center of themanagement and orchestration of 5 G/6 G cellular ne tworks.”
Rio de JaneiroBrazilSouth AmericaC yborgsEmerging TechnologiesMachine LearningFederal University Rio de Janei ro