A new approach to magnify wave functions when imaging interacting ultracold atoms

The precise imaging of many-body systems, which are comprised of many interacting particles, can help to validate theoretical ...
IEEE

Cooperative Spectrum Sensing Using Weighted Graph Sparsity

Abstract: Graph has been proven to be an emerging tool for spectrum sensing (SS), with detection performance closely related to the graph characteristics. Existing graph-based SS has been mainly ...
IEEE

Software Fault Localization Based on Network Spectrum and Graph Neural Network

Abstract: Accurate fault localization renders software test resource allocation and maintenance cost-efficient. However, this is challenging when there are false alarm repercussions caused by module ...
spectrumnews1

Legislators introduce bill allowing Wisconsinites to block themselves from buying a handgun

This story mentions suicide. If you or someone you know is struggling with suicidal thoughts, you can call or text 988. For more resources, click here. MADISON, Wis. — Coinciding with Suicide ...
GitHub

Multimodal Reasoning with Multimodal Knowledge Graph

To develop the tutorial code, I referred to the repository of the MARS dataset used in the paper: [GitHub] First, as instructed in the README of the MARS repository ...
spectrumnews1

What to do if you think someone is having an overdose

WISCONSIN — Opioid addiction impacts people of all different backgrounds; knowing how to recognize the signs of an overdose and knowing what to do could help save a life, since they can be reversed.
GitHub

Singular Spectrum Analysis for Time Series Forecasting

What is Singular Spectrum Analysis (SSA)? Singular Spectrum Analysis (SSA) is a non-parametric technique in machine learning used to analyze and forecast time series data. SSA decomposes a time series ...