LLM-Guided Evolutionary Neural Architecture Search for Hybrid CNN-LSTM Design in Hydropower Fault Diagnosis.
Saved in:
| Title: | LLM-Guided Evolutionary Neural Architecture Search for Hybrid CNN-LSTM Design in Hydropower Fault Diagnosis. |
|---|---|
| Authors: | Fang, Jianwen1, 13708718068@163.com, Wang, Hongjiang2, wanghj@sie.edu.cn |
| Source: | IAENG International Journal of Computer Science; Jun2026, Vol. 53 Issue 6, p2243-2253, 11p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 194196008 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: LLM-Guided Evolutionary Neural Architecture Search for Hybrid CNN-LSTM Design in Hydropower Fault Diagnosis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Fang%2C+Jianwen%22">Fang, Jianwen</searchLink><relatesTo>1</relatesTo>, <i>13708718068@163.com</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Hongjiang%22">Wang, Hongjiang</searchLink><relatesTo>2</relatesTo>, <i>wanghj@sie.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Computer+Science%22">IAENG International Journal of Computer Science</searchLink>; Jun2026, Vol. 53 Issue 6, p2243-2253, 11p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194196008 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 2243 Titles: – TitleFull: LLM-Guided Evolutionary Neural Architecture Search for Hybrid CNN-LSTM Design in Hydropower Fault Diagnosis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fang, Jianwen – PersonEntity: Name: NameFull: Wang, Hongjiang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1819656X Numbering: – Type: volume Value: 53 – Type: issue Value: 6 Titles: – TitleFull: IAENG International Journal of Computer Science Type: main |
| ResultId | 1 |