Al-Mahrouqi, Mazin, Shafieezadeh, Abdollah, Hur, Jieun, Jung, Jae-Wook, Ha, Jeong-Gon, and Hahm, Daegi. Wind-induced transmission line interruption fragility models: An adaptive GAN-augmented probabilistic classification approach for extremely unbalanced data. Retrieved from https://par.nsf.gov/biblio/10656998. Energy and AI 20.C Web. doi:10.1016/j.egyai.2025.100511.

Al-Mahrouqi, Mazin, Shafieezadeh, Abdollah, Hur, Jieun, Jung, Jae-Wook, Ha, Jeong-Gon, & Hahm, Daegi. Wind-induced transmission line interruption fragility models: An adaptive GAN-augmented probabilistic classification approach for extremely unbalanced data. Energy and AI, 20 (C). Retrieved from https://par.nsf.gov/biblio/10656998. https://doi.org/10.1016/j.egyai.2025.100511

Al-Mahrouqi, Mazin, Shafieezadeh, Abdollah, Hur, Jieun, Jung, Jae-Wook, Ha, Jeong-Gon, and Hahm, Daegi. "Wind-induced transmission line interruption fragility models: An adaptive GAN-augmented probabilistic classification approach for extremely unbalanced data". Energy and AI 20 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.egyai.2025.100511. https://par.nsf.gov/biblio/10656998.

@article{osti_10656998,
place = {Country unknown/Code not available}, title = {Wind-induced transmission line interruption fragility models: An adaptive GAN-augmented probabilistic classification approach for extremely unbalanced data}, url = {https://par.nsf.gov/biblio/10656998}, DOI = {10.1016/j.egyai.2025.100511}, abstractNote = {Not Available}, journal = {Energy and AI}, volume = {20}, number = {C}, publisher = {Elsevier}, author = {Al-Mahrouqi, Mazin and Shafieezadeh, Abdollah and Hur, Jieun and Jung, Jae-Wook and Ha, Jeong-Gon and Hahm, Daegi}, }