首页|Research Data from University of Leeds Update Understanding of Support Vector Ma chines (Support Vector Machine-based Handover Scheme for Heterogeneous Ultra Den se Network of Highspeed Railway)
Research Data from University of Leeds Update Understanding of Support Vector Ma chines (Support Vector Machine-based Handover Scheme for Heterogeneous Ultra Den se Network of Highspeed Railway)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Support Vector Machines. According to news reportingoriginating in Leeds, United Kingd om, by NewsRx journalists, research stated, “In order to meet thegrowing demand s and extend network coverage for high-speed railway (HSR) system, the dense deployment of a large number of small cells (SCs) is considered for 5G networks. Ho wever, the deploymentof dense SCs and the high speed of trains result in challe nging problems such as interference, frequenthandovers (HOs), increased HO fail ure rate, and consequently the deteriorated overall quality of service(QoS).”
LeedsUnited KingdomEuropeEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesUniver sity of Leeds
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