Artificial intelligence-assisted performance prediction of Francis turbine

Ejder A., Ulucak O., AYLI Ü. E., Celebioglu K., Aradag S.

ENGINEERING COMPUTATIONS, 2026 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1108/ec-12-2025-1491
  • Dergi Adı: ENGINEERING COMPUTATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Aerospace Database, Compendex, INSPEC, zbMATH, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO), Materials Science & Engineering Collection (ProQuest), Pharma Collection (ProQuest), Technology Collection (ProQuest)
  • Anahtar Kelimeler: FDC, Feasibility, Pipeline, LSTM, Machine learning
  • TED Üniversitesi Adresli: Evet