COOT-CNN: A metaheuristic-optimized deep learning framework based on lightweight convolutional architectures for multi-class robust crack detection in concrete infrastructures

Ali Raza; Fareeha Hanif

doi:10.1016/j.asej.2026.104293

10.1016/j.asej.2026.104293 397 المشاهدات 0 الاقتباسات

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الاستشهاد بهذا المقال (APA)

Ali, R., Fareeha, H. (2026). COOT-CNN: A metaheuristic-optimized deep learning framework based on lightweight convolutional architectures for multi-class robust crack detection in concrete infrastructures. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2026.104293

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