The PyGSP is a Python package to ease Signal Processing on Graphs. The documentation is available on Read the Docs and development takes place on GitHub. A (mostly unmaintained) Matlab version exists.

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

F. Gama, A. G. Marques, G. Leus, and A. Ribeiro, "Convolutional Neural Network Architectures for Signals Supported on Graphs," IEEE Trans. Signal Process., vol. 67 ...

Abstract: Fault diagnosis of complex industrial processes becomes a challenging task due to various fault patterns in sensor signals and complex interactions between different units. However, how to ...

Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...

Abstract: With diminishing margins in advanced technology nodes, accuracy of timing analysis is a serious concern. Improved accuracy helps to reduce overdesign, particularly in P&R-based optimization ...

PFRDA Grade A Exam 2025 held on 6. Complete Paper 1 review with section-wise insights on Quantitative Aptitude, Reasoning, ...

By institutionalising muhūrta s within mathematics, the UGC is effectively telling students that astrological determinism is ...

The SBI Clerk Prelims 2025 will be held on 20, 21 & 27 2025. Check out this 12-day revision plan with subject-wise strategies ...

Global and hemispheric temperature timeseries are available for annual, seasonal and individual months from 1850 to present. Seasonal means are December-February (DJF), March-May (MAM), June-August ...