Abstract: Environmental sound classification (ESC) plays a key role in various daily applications but faces challenges such as limited datasets and the complex temporal nature of sounds. Traditional ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
Abstract: Breast cancer poses lots of challenges in the medical fraternity worldwide. Hence, it requires early diagnosis to treat the affected people. In this paper, we have presented a novel Dilated ...
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