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Zebra mussels are an aquatic invasive species. They attach to essential industrial structures and harm the native ecosystem, costing millions of dollars each year to control. This study explored the effectiveness of two nontoxic materials (Sharklet & Netminder) in combating zebra mussel attachment.

The challenge of accurately identifying shark species is crucial for biodiversity monitoring but is often hindered by time-consuming and labor-intensive manual methods. To address this, SharkNet, a CNN model based on AlexNet, achieved 93% accuracy in classifying shark species using a limited dataset of 1,400 images across 14 species. SharkNet offers a more efficient and reliable solution for marine biologists and conservationists in species identification and environmental monitoring.