首页|Study Results from Xidian University Update Understanding of Machine Learning (C an Routing Be Effectively Learned In Integrated Heterogeneous Networks?)
Study Results from Xidian University Update Understanding of Machine Learning (C an Routing Be Effectively Learned In Integrated Heterogeneous Networks?)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “With the advent of 5 G and facing future 6G, various networks tend to be linked together to form an i ntegrated heterogeneous network (Inte-HetNets). Inte-HetNets bring new challenge s to routing due to the need of crossing multiple network domains.” Funders for this research include National Natural Science Foundation of China ( NSFC), Key Research Project of Shaanxi Natural Science Foundation, Open Research Project of Zhe Jiang Lab, Ministry of Education, China - 111 Project.
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXidian University
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