Predicting image processing-normalized DL-EPRT performance from Rudimentary Cihal method-based counterpart
Conventional DL-EPRT was extrapolated into accounting for inherent inconsistencies amongst grain boundary (GB) dimensions whilst correlating two distinct methods of ir/ia normalization, namely the approximate Cihal method (CM) and the relatively involved image processing (IP). Inasmuch as facilitati...
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Elsevier
2024-12-01
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| Series: | Nuclear Materials and Energy |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352179124001558 |
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| author | Abdulla F. Alshater |
| author_facet | Abdulla F. Alshater |
| author_sort | Abdulla F. Alshater |
| collection | DOAJ |
| description | Conventional DL-EPRT was extrapolated into accounting for inherent inconsistencies amongst grain boundary (GB) dimensions whilst correlating two distinct methods of ir/ia normalization, namely the approximate Cihal method (CM) and the relatively involved image processing (IP). Inasmuch as facilitating the forecast of IP- from CM-based normalizations, the full spectrum of plausible predictive models was subjected to cross validations that revealed those emanating from GB length-based endeavors to be quadratic with R2 and mean error (E) of 0.9215 and 0.5769, respectively. Meanwhile, GB area normalizations succumbed to a linear polynomial yielding R2 and E values of 0.8795 and 0.3664, respectively. |
| format | Article |
| id | doaj-art-afb42dba4efd4bc1a6af1f9edb455b2a |
| institution | OA Journals |
| issn | 2352-1791 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Nuclear Materials and Energy |
| spelling | doaj-art-afb42dba4efd4bc1a6af1f9edb455b2a2025-08-20T01:57:04ZengElsevierNuclear Materials and Energy2352-17912024-12-014110173210.1016/j.nme.2024.101732Predicting image processing-normalized DL-EPRT performance from Rudimentary Cihal method-based counterpartAbdulla F. Alshater0College of Engineering, University of Bahrain, PO.Box 32038, Isa Town Campus, Kingdom of BahrainConventional DL-EPRT was extrapolated into accounting for inherent inconsistencies amongst grain boundary (GB) dimensions whilst correlating two distinct methods of ir/ia normalization, namely the approximate Cihal method (CM) and the relatively involved image processing (IP). Inasmuch as facilitating the forecast of IP- from CM-based normalizations, the full spectrum of plausible predictive models was subjected to cross validations that revealed those emanating from GB length-based endeavors to be quadratic with R2 and mean error (E) of 0.9215 and 0.5769, respectively. Meanwhile, GB area normalizations succumbed to a linear polynomial yielding R2 and E values of 0.8795 and 0.3664, respectively.http://www.sciencedirect.com/science/article/pii/S2352179124001558Degree of sensitizationDouble loop electrochemical potentiokinetic reactivationNormalizationCihal methodImage processing |
| spellingShingle | Abdulla F. Alshater Predicting image processing-normalized DL-EPRT performance from Rudimentary Cihal method-based counterpart Nuclear Materials and Energy Degree of sensitization Double loop electrochemical potentiokinetic reactivation Normalization Cihal method Image processing |
| title | Predicting image processing-normalized DL-EPRT performance from Rudimentary Cihal method-based counterpart |
| title_full | Predicting image processing-normalized DL-EPRT performance from Rudimentary Cihal method-based counterpart |
| title_fullStr | Predicting image processing-normalized DL-EPRT performance from Rudimentary Cihal method-based counterpart |
| title_full_unstemmed | Predicting image processing-normalized DL-EPRT performance from Rudimentary Cihal method-based counterpart |
| title_short | Predicting image processing-normalized DL-EPRT performance from Rudimentary Cihal method-based counterpart |
| title_sort | predicting image processing normalized dl eprt performance from rudimentary cihal method based counterpart |
| topic | Degree of sensitization Double loop electrochemical potentiokinetic reactivation Normalization Cihal method Image processing |
| url | http://www.sciencedirect.com/science/article/pii/S2352179124001558 |
| work_keys_str_mv | AT abdullafalshater predictingimageprocessingnormalizeddleprtperformancefromrudimentarycihalmethodbasedcounterpart |