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A neural-network with fuzzified characteristic distances weights (NNFCDW) is proposed in this paper to recognize the facial expressions effectively. During the recognition process, the characteristic distances that represent the relationship between the facial expressions and the muscle movement are used to be the major basis for recognition. The different(More)
A novel nanohybrid material that combines single-walled carbon nanotubes (SWCNTs) with a polyoxometalate (TBA)5[PVMoO40] (TBA-PV2Mo10, TBA: [(CH3(CH2)3)4N](+), tetra-n-butyl ammonium) is investigated for the first time as an electrode material for supercapacitors (SCs) in this study. The SWCNT-TBA-PV2Mo10 material has been prepared by a simple solution(More)
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