Comparative Analysis of Machine Learning Models for Efficient MOSFET Current-Voltage Modeling Conference

Mamun, Kazi Mohammad, Garcia-Paravisini, Sergio, Curet, Joshua Natal et al. (2026). Comparative Analysis of Machine Learning Models for Efficient MOSFET Current-Voltage Modeling . IEEE SOUTHEASTCON 2015, 1252-1257. 10.1109/SOUTHEASTCON63549.2026.11476115

cited authors

  • Mamun, Kazi Mohammad; Garcia-Paravisini, Sergio; Curet, Joshua Natal; Pala, Nezih; Shawkat, Mst Shamim Ara

authors

date/time interval

  • February 20, 2026 -

publication date

  • January 1, 2026

published in

keywords

  • Artificial Neural Networks (ANN)
  • Computer Science
  • Computer Science, Artificial Intelligence
  • Computer Science, Software Engineering
  • Computer Science, Theory & Methods
  • Device Modeling
  • Engineering
  • Engineering, Electrical & Electronic
  • Extreme Gradient Boosting (XGBoost)
  • Machine Learning (ML)
  • Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET)
  • Polynomial Regression
  • Random Forest Regressor (RFR)
  • Science & Technology
  • Technology
  • Technology Computer-Aided Design (TCAD)

Location

  • AL, Huntsville

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

Conference

  • 2026 SoutheastCon

publisher

  • IEEE

start page

  • 1252

end page

  • 1257