首页|Researchers from Jilin University Provide Details of New Studies and Findings in the Area of Support Vector Machines (Magnetic Resonance Sounding Data Denoising Based On Successive Dn-resunet Models With Noise Predetection Using Support Vec tor ...)
Researchers from Jilin University Provide Details of New Studies and Findings in the Area of Support Vector Machines (Magnetic Resonance Sounding Data Denoising Based On Successive Dn-resunet Models With Noise Predetection Using Support Vec tor ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Support Vector Machine s is the subject of a report. According to news reporting originating from Chang chun, People’s Republic of China, by NewsRx correspondents, research stated, “Ma gnetic resonance sounding (MRS) measurements used for detecting the subsurface a quifers commonly suffer from the notoriously low signal-to-noise ratio (SNR). Th e conventional approaches usually deal with the specific noise components step b y step to improve the SNR, but the denoising effect is limited.” Financial support for this research came from National Key Research and Developm ent Program of China.
ChangchunPeople's Republic of ChinaA siaEmerging TechnologiesHealth and MedicineMachine LearningMagnetic Reso nanceSupport Vector MachinesVector MachinesJilin University
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