Abstract: Graph signal processing (GSP) has emerged as a powerful framework for analyzing data defined on irregular domains. In recent years, many classical techniques in signal processing (SP) have ...

1 College Information Science and Engineering, Wuchang Shouyi University, Wuhan, China 2 College of Information Engineering, Wuhan Huaxia Institute of Technology, Wuhan, China Pseudogenes are genomic ...

What if we told you that the secret to making your data unforgettable lies not in the numbers themselves, but in how you present them? Imagine transforming a dull spreadsheet into a vibrant, engaging ...

With hashrate registers, you get a really visible change in hashrate when you change the frequency. In this graph, I changed the frequency from 625 to 600: It would ...

Is your feature request related to a problem? Currently, the frequency chart displays the time range between first and last log. For example, if you look at this screenshot you see that the time range ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.

As the complexity of microgrid systems, the randomness of load disturbances, and the data dimensionality increase, traditional load frequency control methods for microgrids are no longer capable of ...