Artificial Intelligence Techniques for Predicting the Flashover Voltage on Polluted Cup-Pin Insulators

Ali. A. Salem, R. Abd-Rahman, Samir A. Al-Gailani, M. S. Kamarudin, N. A. Othman, N. A. M. Jamail. Artificial Intelligence Techniques for Predicting the Flashover Voltage on Polluted Cup-Pin Insulators. In Faisal Saeed, Fathey Mohammed, Nadhmi Gazem, editors, Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing, International Conference of Reliable Information and Communication Technology, IRICT 2019, Johor, Malaysia, 22-23 September, 2019. Volume 1073 of Advances in Intelligent Systems and Computing, pages 362-372, Springer, 2019. [doi]

@inproceedings{SalemAAKOJ19,
  title = {Artificial Intelligence Techniques for Predicting the Flashover Voltage on Polluted Cup-Pin Insulators},
  author = {Ali. A. Salem and R. Abd-Rahman and Samir A. Al-Gailani and M. S. Kamarudin and N. A. Othman and N. A. M. Jamail},
  year = {2019},
  doi = {10.1007/978-3-030-33582-3_35},
  url = {https://doi.org/10.1007/978-3-030-33582-3_35},
  researchr = {https://researchr.org/publication/SalemAAKOJ19},
  cites = {0},
  citedby = {0},
  pages = {362-372},
  booktitle = {Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing, International Conference of Reliable Information and Communication Technology, IRICT 2019, Johor, Malaysia, 22-23 September, 2019},
  editor = {Faisal Saeed and Fathey Mohammed and Nadhmi Gazem},
  volume = {1073},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-33582-3},
}