Utilizing Artificial Neural Networks and Combined Capacitance-Based Sensors to Predict Void Fraction in Two-Phase Annular Fluids Regardless of Liquid Phase Type

Mustafa A. Al-Fayoumi, Hani Mahmoud Al-Mimi, Aryan Veisi, Hussain Al-Aqrabi, Mohammad Sh. Daoud, Ehsan Eftekhari-Zadeh. Utilizing Artificial Neural Networks and Combined Capacitance-Based Sensors to Predict Void Fraction in Two-Phase Annular Fluids Regardless of Liquid Phase Type. IEEE Access, 11:143745-143756, 2023. [doi]

@article{AlFayoumiAVADE23,
  title = {Utilizing Artificial Neural Networks and Combined Capacitance-Based Sensors to Predict Void Fraction in Two-Phase Annular Fluids Regardless of Liquid Phase Type},
  author = {Mustafa A. Al-Fayoumi and Hani Mahmoud Al-Mimi and Aryan Veisi and Hussain Al-Aqrabi and Mohammad Sh. Daoud and Ehsan Eftekhari-Zadeh},
  year = {2023},
  doi = {10.1109/ACCESS.2023.3340127},
  url = {https://doi.org/10.1109/ACCESS.2023.3340127},
  researchr = {https://researchr.org/publication/AlFayoumiAVADE23},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {11},
  pages = {143745-143756},
}