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Digital Science (United States)

United States

9 papers here6 citations across 9
fields
  • cs.DL2
  • cs.SE2
  • cs.AI1
  • cs.GR1
  • eess.SP1
  • physics.ed-ph1
  • quant-ph1
ROR 020h4b682OpenAlex

affiliations via OpenAlex

most citedAI-supported data analysis boosts student motivation and reduces stress in physics education

4 citations

researchers with a paper here
  • Arcangelo Massari2 · h 6
  • C. Maple2 · h 49
  • Kay Atefi2 · h 2
  • Omar Santos2 · h 16
  • P. Radanliev2 · h 31
  • André Bresges1 · h 7
  • A. Takaloo1 · h 4
  • Bologna1 · h 37
  • Chenkai Weng1 · h 17
  • Doctor Of Philology1 · h 0
  • Ehsan Mohammadi1 · h 2
  • Felix Weitkaemper1 · h 0
collaborating institutions
  • Cisco Systems (United States)US2 papers
  • The Alan Turing InstituteGB2 papers
  • University of HullGB2 papers
  • University of OxfordGB2 papers
  • University of WarwickGB2 papers
  • Cisco Systems (China)CN1 paper
  • Collaborative Innovation Center of Advanced MicrostructuresCN1 paper
  • K.N.Toosi University of TechnologyIR1 paper
  • MAPNA Group (Iran)IR1 paper
  • Microsoft Research Asia (China)CN1 paper
  • Mountain View CollegeUS1 paper
  • Nanjing UniversityCN1 paper
Showing eess.SPShow all

1 paper · 1 filter

eess.SP2026

XMDCA-TL: An Explainable Multi-Domain Channel Attention Transfer Learning Framework for Fault Diagnosis in Industrial Gas Turbines

Amir Jahangard Takaloo, Mahdi Aliyari Shoorehdeli, Ehsan Mohammadi

In this study, a multi-task, interpretable transfer learning framework, XMDCA-TL, is proposed for fault diagnosis in industrial gas turbines. In the proposed method, the vibration…

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