首页|Reports Outline Machine Learning Study Findings from Northeast Agricultural Univ ersity (Dempster Shafer Distance-based Multiclassifier Fusion Method for Pig Co ugh Recognition)
Reports Outline Machine Learning Study Findings from Northeast Agricultural Univ ersity (Dempster Shafer Distance-based Multiclassifier Fusion Method for Pig Co ugh Recognition)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in Machine Lea rning. According to news reporting from Harbin, People's Republic of China, by N ewsRx journalists, research stated, "High precision pig cough recognition and lo w computational cost is of great importance for the realization of early warning of pig respiratory diseases. Numerous researchers have improved the recognition rate of pig cough sounds to a certain extent from feature selection and feature fusion perspectives." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Academic Backbone Project of Northeast Agricultural Universi ty, National Key Research & Development Program of China, Universi ty Nursing Program for Young Scholars with Creative Talents in Heilongjiang Prov ince.
HarbinPeople's Republic of ChinaAsiaAlgorithmsCyborgsDistance AlgorithmsEmerging TechnologiesMachine Learn ingNortheast Agricultural University
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