GitHub

Graph build with traversal projects packs each TargetFramework of multi-targeting projects

Then run dotnet pack -graph -bl. You'll likely see the break. And if you don't, you can try again (after removing build artifacts), or just inspect the .binlog to see that too many GenerateNuspec ...
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 ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
marktechpost

Building a Speech Enhancement and Automatic Speech Recognition (ASR) Pipeline in Python Using SpeechBrain

In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean speech samples with gTTS, deliberately adding noise to simulate real-world ...
IEEE

A Fast Graph Construction-Driven Rotating Machine Fault Diagnosis Method Using Edge Predictor

Abstract: Graph-based machine fault diagnosis methods are successfully used in extracting relationship information. However, the heavy computational burden of K-nearest neighbor graph (KNNG) has ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...