4 citations · 5 across the 4 of their papers we have counts for
4 papers
Graph Based Multi-layer K-means++ (G-MLKM) for Sensory Pattern Analysis in Constrained Spaces
Feng Tao, Rengan Suresh, Johnathan Votion +1
In this paper, we focus on developing a novel unsupervised machine learning algorithm, named graph based multi-layer k-means++ (G-MLKM), to solve data-target association problem wh…
A Multi-Layer K-means Approach for Multi-Sensor Data Pattern Recognition in Multi-Target Localization
Samuel Silva, Rengan Suresh, Feng Tao +2
Data-target association is an important step in multi-target localization for the intelligent operation of un- manned systems in numerous applications such as search and rescue, tr…
Multi-Objective Cooperative Search of Spatially Diverse Routes in Uncertain Environments
Johnathan Votion, Yongcan Cao
This paper focuses on developing new navigation and reconnaissance capabilities for cooperative unmanned systems in uncertain environments. The goal is to design a cooperative mult…
Multi-Sensor Data Pattern Recognition for Multi-Target Localization: A Machine Learning Approach
Kasthurirengan Suresh, Samuel Silva, Johnathan Votion +1
Data-target pairing is an important step towards multi-target localization for the intelligent operation of unmanned systems. Target localization plays a crucial role in numerous a…