The use of artificial intelligence and time characteristics in the optimization of the structure of the volumetric percentage detection system independent of the scale value inside the pipe. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Abdullah_M._Iliyasu>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Ahmed_S._Salama>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Ehsan_Eftekhari-Zadeh>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Kaoru_Hirota>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Seyed_Mehdi_Alizadeh>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Tzu-Chia_Chen>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1080%2F08839514.2023.2166225>
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dc:identifier	DBLP journals/aai/ChenIASEH23 (xsd:string)
dc:identifier	DOI doi.org%2F10.1080%2F08839514.2023.2166225 (xsd:string)
dcterms:issued	2023 (xsd:gYear)
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rdfs:label	The use of artificial intelligence and time characteristics in the optimization of the structure of the volumetric percentage detection system independent of the scale value inside the pipe. (xsd:string)
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dc:title	The use of artificial intelligence and time characteristics in the optimization of the structure of the volumetric percentage detection system independent of the scale value inside the pipe. (xsd:string)
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