Due to the significant amount of time and expertise needed for manual segmentation of the brain cortex from magnetic resonance imaging (MRI) data, there is a substantial need for efficient and ...
Abstract: Graph neural networks (GNNs) have recently emerged as a promising approach for solving few-shot learning (FSL) problems, enabling generalization to new categories by establishing ...
The brain is never completely at rest. Even without external input, it produces spontaneous neural activity that creates synchronized fluctuations across different regions - a process known as ...
Abstract: Mobile Ad Hoc Networks (MANETs) consist of decentralized wireless networks with dynamic topologies and frequent link failures which make achieving efficient routing extremely difficult.
State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Centre for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...
To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for. New AI platforms, powered by generative ...
Associate Professor and Associate Director of the Centre for Change and Complexity in Learning (C3L), Education Futures, University of South Australia Since ChatGPT appeared almost three years ago, ...
About 10 years ago, deep in my tennis obsession, I played a one-day singles tournament near my home here in North Carolina. It was a brutal day, like a lot of brutal summer days, but I thought if I ...
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