首页|Study Results from University of Durham Provide New Insights into Machine Learni ng (The Application and Comparison Between Machine Learning Algorithms In Cooper ative Spectrum Sensing)
Study Results from University of Durham Provide New Insights into Machine Learni ng (The Application and Comparison Between Machine Learning Algorithms In Cooper ative Spectrum Sensing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news originating from Durham, United Kingdom, by News Rx correspondents, research stated, “The world is progressing at a rapid rate, a nd with continuous advancements in technology, the need for cooperative spectrum sensing has evolved. Cooperative spectrum sensing is an approach used to enhanc e detection performance, wherein secondary users collaborate with each other to sense the spectrum and identify spectrum holes.”
SyracuseNew YorkUnited StatesNorth and Central AmericaNeural ComputationComputationSyracuse University
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