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Matches in SemOpenAlex for { <https://semopenalex.org/work/W4205792007> ?p ?o ?g. }

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• W4205792007 abstract "In biomass wastage, carbon is one of the adsorbent materials. Biomass wastage contains complex materials, and pressure, various temperatures, and presence of various chemical components which are subjected to the adsorption of carbon are a tedious task, and it is used in the sustainable waste management system. While screening the biomass wastage management system, prediction of activated carbon’s quality and understanding of the mechanism of adsorption of <math xmlns=http://www.w3.org/1998/Math/MathML id=M1> <msub> <mrow> <mtext>CO</mtext> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </math> are a complicated task. Many research works have been developed; the main issues are inaccurate and inefficient prediction of carbon available in the various feedstock of biomass wastage. To overcome these issues, this paper proposed gene expression programming (GEP) with <math xmlns=http://www.w3.org/1998/Math/MathML id=M2> <mi>K</mi> </math> -nearest neighbour (GEP-KNN). The key advantage of the proposed work shows excellent performance in the prediction of adsorbing carbon and accuracy. The accuracy of the GEP-KNN algorithm with different <math xmlns=http://www.w3.org/1998/Math/MathML id=M3> <mi>K</mi> </math> values produced the highest accuracy at <math xmlns=http://www.w3.org/1998/Math/MathML id=M4> <mi>K</mi> <mo>=</mo> <mn>9</mn> </math> and <math xmlns=http://www.w3.org/1998/Math/MathML id=M5> <mi>k</mi> <mo>=</mo> <mn>10</mn> </math> of 95.12% and 95.67%; the lowest accuracy is <math xmlns=http://www.w3.org/1998/Math/MathML id=M6> <mi>K</mi> <mo>=</mo> <mn>1</mn> </math> of 65.34%." @default.
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• W4205792007 date "2022-01-18" @default.
• W4205792007 modified "2023-10-04" @default.
• W4205792007 title "Intelligent CO2 Monitoring for Diagnosis of Sleep Apnea Using Neural Cryptography Techniques" @default.
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• W4205792007 doi "https://doi.org/10.1155/2022/6349335" @default.
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