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Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques
Majid Haji Bagheri Araz Rajabi-Abhari Owen Gibbs Pengcheng Xi Asif Abdullah Khan Fangzheng Huang Soyaeb Hassan Ning Yan Dayan Ban
Energy & Environmental Materials2026,Vol.9Issue(3):P.23-36,14.
Energy & Environmental Materials2026,Vol.9Issue(3):P.23-36,14.DOI:10.1002/eem2.70044
Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques
摘要
关键词
deep learning/energy-harvesting/live sound monitoring/self-powered microphone/triboelectric nanogenerator分类
信息技术与安全科学引用本文复制引用
Majid Haji Bagheri,Araz Rajabi-Abhari,Owen Gibbs,Pengcheng Xi,Asif Abdullah Khan,Fangzheng Huang,Soyaeb Hassan,Ning Yan,Dayan Ban..Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques[J].Energy & Environmental Materials,2026,9(3):P.23-36,14.基金项目
Supported by the Natural Sciences and Engineering Research Council of Canada(NSERC)(Grant No.CRDPJ514858-17) (NSERC)
Ontario Centers of Excellence(OCE),Canada(Grant No.VIPII 28314) (OCE)
University of Waterloo,Canada(Grant No.10001-10643) (Grant No.10001-10643)
the National Science Fund for Excellent Young Scholars(Grant No.61822503) (Grant No.61822503)
the Natural Science Foundation of China(Grant Nos.22075043,21875034,61704093) (Grant Nos.22075043,21875034,61704093)
the Foundation of Jiangsu Province for Outstanding Young Teachers in University(Grant No.BK20180064). (Grant No.BK20180064)