Abstract: Automatic Modulation Recognition (AMR) is an essential part of Intelligent Transportation System (ITS) dynamic spectrum allocation. However, current deep learning-based AMR (DL-AMR) methods ...
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 ...
Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.
Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data networks for hidden connections – from gene functions and disease mechanisms ...
Researchers at TU Wien are developing a model that interprets opinions not as diametrically opposed poles, but as overlapping ...
1 Department of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States 2 Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, United States ...
Abstract: In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters.
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