Corrigendum to “Advanced multi-layer deep learning model for accurate estimation of heat transfer and flow designing parameters across diverse dataset configurations”
| dc.contributor.author | Karah Bash, Ali A.H. | |
| dc.contributor.author | Khail, Ahmad Aboul | |
| dc.date.accessioned | 2025-04-28T12:23:02Z | |
| dc.date.available | 2025-04-28T12:23:02Z | |
| dc.date.issued | 2025 | en_US |
| dc.department | HKÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü | en_US |
| dc.description.abstract | The authors regret that affiliation “c” was inadvertently included in the article due to an oversight during the manuscript preparation. They kindly request the removal of affiliation “c” from the published article. The authors would like to apologise for any inconvenience caused. © 2025 Elsevier Ltd | en_US |
| dc.identifier.citation | Karah Bash A.A.H. & Khail A.A. (2025). Corrigendum to “Advanced multi-layer deep learning model for accurate estimation of heat transfer and flow designing parameters across diverse dataset configurations” . Engineering Applications of Artificial Intelligence. (152.). https://doi.org/10.1016/j.engappai.2025.110869. | en_US |
| dc.identifier.doi | 10.1016/j.engappai.2025.110869 | |
| dc.identifier.issn | 09521976 | |
| dc.identifier.orcid | 0000-0002-6513-9180 | en_US |
| dc.identifier.scopus | 2-s2.0-105002557075 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.uri | https://doi.org/10.1016/j.engappai.2025.110869 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11782/4850 | |
| dc.identifier.volume | 152 | en_US |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Ltd | en_US |
| dc.relation.ispartof | Engineering Applications of Artificial Intelligence | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.title | Corrigendum to “Advanced multi-layer deep learning model for accurate estimation of heat transfer and flow designing parameters across diverse dataset configurations” | |
| dc.type | Article |
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