E-Swish activations function in ResNet architectures for enhanced sea turtle individual recognition

Traditional sea turtle monitoring methods often rely on physical tagging, which can pose challenges such as tag loss and potential harm to the animals. Conversely, deep learning methods offer non-invasive, efficient, and accurate alternatives for sea turtle identification, crucial for effective cons...

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Bibliographic Details

Main Authors:	Siti NurFarahim Shaharudin, Wan Nural Jawahir Hj Wan Yussof, Muhammad Suzuri Hitam, Ezmahamrul Afreen Awalludin, Nur Baini Ismail, Mohd Erman Safawie Che Ibrahim
Format:	Article
Language:	en
Published:	Penerbit Universiti Kebangsaan Malaysia 2025
Online Access:	http://journalarticle.ukm.my/26161/1/16%20-.pdf http://journalarticle.ukm.my/26161/ https://www.ukm.my/apjitm/
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