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

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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
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        Value: 10.1109/BTS-I2C67944.2025.11399446
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            NameFull: Shorfuddin, Mohammed
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            NameFull: Prince, Sadek Al
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            NameFull: Hossain Mobin, Shakawat
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            NameFull: Uddin, Mohammad Shoaib
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              Y: 2025
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