首页|Studies Conducted at National Institute of Technology Rourkela on Support Vector Machines Recently Reported (A Deep Convolutional-gru-svm-based Hybrid Approach for Signal Detection of Uplink Noma System)
Studies Conducted at National Institute of Technology Rourkela on Support Vector Machines Recently Reported (A Deep Convolutional-gru-svm-based Hybrid Approach for Signal Detection of Uplink Noma System)
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 publish new report on Ma chine Learning - Support Vector Machines.According to news reporting from Odish a, India, by NewsRx journalists, research stated, “The Nonorthogonalmultiple a ccess (NOMA) technique has drawn considerable attention as a promising solutionfor advanced wireless communication systems due to its higher data rates, lower latency, and high bandwidthefficiency. The decoding of NOMA signals requires st andard successive interference cancellation (SIC)approaches.”
OdishaIndiaAsiaMachine LearningS upport Vector MachinesNational Institute of Technology Rourkela