IEEE

Multiframe Detection via Graph Neural Networks: A Link Prediction Approach

Abstract: Multiframe detection algorithms can effectively utilize the correlation between consecutive echoes to improve the detection performance of weak targets. Existing efficient multiframe ...
C&EN

HU-FlowNet: A Method for Trajectory Detection in Dense Granular Flows Integrating the Hungarian Algorithm, U-Net, and UnLiteFlowNet

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Scientific Research Publishing

Wu, Y., Dai, H.N. and Tang, H. (2021) Graph Neural Networks for Anomaly Detection in the Industrial Internet of Things. IEEE Internet of Things Journal, 9, 9214-9231.

ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...
GitHub

cycle-detection

A C program that simulates an election using the Tideman (ranked pairs) voting method, identifying the Condorcet winner if one exists. Implements graph-based logic, adjacency matrices, sorting ...