Application of clustering algorithms for dimensionality reduction in infrastructure resilience prediction models-Reference-Cited by-同舟云学术

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Application of clustering algorithms for dimensionality reduction in infrastructure resilience prediction models

Published:2024-06-20 Issue: Volume: Page:1-13
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Balakrishnan Srijith¹,Cassottana Beatrice²,Verma Arun³

Affiliation:

1. Faculty of Technology, Policy and Management, Delft University of Technology, Delft, the Netherlands

2. Future Resilient Systems, Singapore-ETH Centre at CREATE Singapore, Singapore

3. School of Computing, National University of Singapore, Singapore

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2024.2366958

Reference57 articles.

1. Resource Allocation for Infrastructure Resilience using Artificial Neural Networks

2. Balakrishnan S. (2020). (Methods for risk and resilience evaluation in interdependent infrastructure networks) (PhD thesis). University of Texas at Austin Austin TX USA.

3. InfraRisk: An open-source simulation platform for resilience analysis in interconnected power–water–transport networks

4. Balakrishnan S. Cassottana B. & Verma A. (2022). Application of clustering algorithms for dimensionality reduction in infrastructure resilience prediction models. arXiv preprint arXiv:2205.03316.

5. Criticality and susceptibility indexes for resilience-based ranking and prioritization of components in interdependent infrastructure networks;Balakrishnan S.;Journal of Management in Engineering,,2020

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