Pattern Recognition for Complex Heterogeneous Time-Series Data: An Analysis of Microbial Community Dynamics
Published in The Australian National University (PhD Thesis), 2021
This doctoral thesis develops pattern recognition techniques for complex heterogeneous time-series data, with a primary focus on microbial community dynamics analysis. The work addresses the challenges of extracting meaningful patterns from multi-dimensional biological time-series data and proposes novel approaches for understanding microbial community behaviour.
Recommended citation:
R. Vidanaarachchi, “Pattern Recognition for Complex Heterogeneous Time-Series Data: An Analysis of Microbial Community Dynamics,” PhD Thesis, The Australian National University, 2021.
BibTeX
@phdthesis{vidanaarachchi2021pattern,
title={Pattern Recognition for Complex Heterogeneous Time-Series Data: An Analysis of Microbial Community Dynamics},
author={Vidanaarachchi, Rajith},
year={2021},
school={The Australian National University (Australia)}
}
