The proposed system can be used to detect underwater objects, which
is essential for autonomous underwater exploration, biodiversity monitoring, and the fulfilment
of the United Nations Sustainable Development Goal (SDG) 14. Even though deep learning
models trained on terrestrial imagery work well, severe visual de...
Sustainable management of marine and freshwater environments requires
effective monitoring. However, in underwater visual data acquisition, the effects of light
attenuation and scattering vary with wavelength, degrading image quality.
In this study, the latest underwater image enhancement algorithms were sys...
This paper proposes an Illusion Interception Tool, a robust deep fake detection system that combines ResNeXt convolutional neural networks (CNNs) for detailed spatial analysis and long short-term memory (LSTM) networks for capturing temporal dynamics with soft attention.