APA (7th ed.) Citation

Sakib, G. M., Shorfuddin, M., Kabir, H., Prince, S. A., Hossain Mobin, S., & Uddin, M. S. (2025). Coral Reef Health Assessment through Deep Residual Learning: A High-Precision ResNet101 Framework for Automated Monitoring and Conservation in the Indo-Pacific Region. 2025 2nd Beyond Technology Summit on Informatics International Conference (BTS-I2C), Informatics International Conference (BTS-I2C), 2025 2nd Beyond Technology Summit on, 634. https://doi.org/10.1109/BTS-I2C67944.2025.11399446

Chicago Style (17th ed.) Citation

Sakib, Gazi Mehraj, Mohammed Shorfuddin, Humayun Kabir, Sadek Al Prince, Shakawat Hossain Mobin, and Mohammad Shoaib Uddin. "Coral Reef Health Assessment Through Deep Residual Learning: A High-Precision ResNet101 Framework for Automated Monitoring and Conservation in the Indo-Pacific Region." 2025 2nd Beyond Technology Summit on Informatics International Conference (BTS-I2C), Informatics International Conference (BTS-I2C), 2025 2nd Beyond Technology Summit on 2025: 634. https://doi.org/10.1109/BTS-I2C67944.2025.11399446.

MLA (9th ed.) Citation

Sakib, Gazi Mehraj, et al. "Coral Reef Health Assessment Through Deep Residual Learning: A High-Precision ResNet101 Framework for Automated Monitoring and Conservation in the Indo-Pacific Region." 2025 2nd Beyond Technology Summit on Informatics International Conference (BTS-I2C), Informatics International Conference (BTS-I2C), 2025 2nd Beyond Technology Summit on, 2025, p. 634, https://doi.org/10.1109/BTS-I2C67944.2025.11399446.