Abstract: Human activity recognition (HAR) is a challenging area of research with widespread applications in human-computer interaction. Recent advances in neural networks (NNs) have greatly improved ...
The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...
Abstract: Graph Neural Networks (GNNs) is one of the most essential tools for learning from graph-structured data. A wide range of tasks has demonstrated their usefulness in graph-structured data.
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