Ajou University repository

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Day-Ahead System Marginal Price Forecasting Using Artificial Neural Network and Similar-Days Information
  • 2019-03-01
  • Journal of Electrical Engineering and Technology, Vol.14, pp.561-568
  • Korean Institute of Electrical Engineers
Deep learning models for quality estimation of gas tungsten arc welding
  • 2022-01-01
  • Welding International, Vol.36, pp.17-24
  • Taylor and Francis Ltd.
Development of artificial neural network algorithm for the prediction of power failures by natural disaster
  • 2019-01-01
  • Transactions of the Korean Institute of Electrical Engineers, Vol.68, pp.1085-1093
  • Korean Institute of Electrical Engineers
MPFDT: A Fault and Anomaly Diagnosis Tool for PLC Controlled Manufacturing Systems
  • ARUP GHOSH
  • 2018-08
  • The Graduate School, Ajou University
Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique
  • Dewangan, Sheetal Kumar;
  • Nagarjuna, Cheenepalli;
  • Jain, Reliance;
  • Kumawat, Rameshwar L.;
  • Kumar, Vinod;
  • Sharma, Ashutosh;
  • Ahn, Byungmin
  • 2023-12-01
  • Materials Today Communications, Vol.37
  • Elsevier Ltd
Predicting the thermoelectric figure of merit in p-type BiSbTe-based alloys using artificial neural network modeling
  • Madavali, Babu;
  • Nagarjuna, Cheenepalli;
  • Dewangan, Sheetal Kumar;
  • Ahn, Byungmin;
  • Hong, Soon Jik
  • 2024-08-01
  • Materials Today Communications, Vol.40
  • Elsevier Ltd
Prediction of nanoindentation creep behavior of tungsten-containing high entropy alloys using artificial neural network trained with Levenberg–Marquardt algorithm
  • Dewangan, Sheetal Kumar;
  • Sharma, Ashutosh;
  • Lee, Hansung;
  • Kumar, Vinod;
  • Ahn, Byungmin
  • 2023-10-05
  • Journal of Alloys and Compounds, Vol.958
  • Elsevier Ltd
Photovoltaic power control algorithms using bess
  • 2021-08-01
  • Transactions of the Korean Institute of Electrical Engineers, Vol.70, pp.1167-1172
  • Korean Institute of Electrical Engineers
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