2022
DOI: 10.1002/admi.202270044
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Current Detection and Energy Harvesting Integrated Magnetoelectric Sensor with Flexibility and Heat Resistance Based on Polylactide/VB2 Composites and FeCoV (Adv. Mater. Interfaces 9/2022)

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Cited by 1 publication
(2 citation statements)
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“…First, the peaks of eight signal curves of the electrical signal matrix were compared. Then, the curves with roughly the same peak value were recorded as the same number to realize the encoding of the signal matrix, and the encoding obtained was [1,2,3,2,1,2,3,2]. Finally, it was deduced that the shape of the unknown micro-cavity was "H" shape through the obtained code.…”
Section: Machine Learning For Micro-cavity Recognizationmentioning
confidence: 99%
See 1 more Smart Citation
“…First, the peaks of eight signal curves of the electrical signal matrix were compared. Then, the curves with roughly the same peak value were recorded as the same number to realize the encoding of the signal matrix, and the encoding obtained was [1,2,3,2,1,2,3,2]. Finally, it was deduced that the shape of the unknown micro-cavity was "H" shape through the obtained code.…”
Section: Machine Learning For Micro-cavity Recognizationmentioning
confidence: 99%
“…Soft mechanoelectrical energy conversion systems, as used in self-powered flexible electronics, [1][2][3] green chemical reactors [4,5] , and implantable sensors, [6][7][8] are challenging and energyharvesting fundamental processes. Magnetoelastic [9][10][11][12] typically DOI: 10.1002/smll.202306340 systemscontribute an order of magnitude more current output than other technologies due to their Faraday electromagnetic induction mechanism.…”
Section: Introductionmentioning
confidence: 99%