Coral Reef Health Assessment through Deep Residual Learning: A High-Precision ResNet101 Framework for Automated Monitoring and Conservation in the Indo-Pacific Region

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Coral Reef Health Assessment through Deep Residual Learning: A High-Precision ResNet101 Framework for Automated Monitoring and Conservation in the Indo-Pacific Region
Συγγραφείς: Sakib, Gazi Mehraj, Shorfuddin, Mohammed, Kabir, Humayun, Prince, Sadek Al, Hossain Mobin, Shakawat, Uddin, Mohammad Shoaib
Πηγή: 2025 2nd Beyond Technology Summit on Informatics International Conference (BTS-I2C) Informatics International Conference (BTS-I2C), 2025 2nd Beyond Technology Summit on. :634-639 Dec, 2025
Relation: 2025 2nd Beyond Technology Summit on Informatics International Conference (BTS-I2C)
Βάση Δεδομένων: IEEE Xplore Digital Library
Περιγραφή
ISBN:9798331575212
9798331575229
DOI:10.1109/BTS-I2C67944.2025.11399446