Analysis of Bridge Structural Health Monitoring using Random Forest Classification

1. Introduction

There remains a pressing need for cost-effective methods to assess bridge structural health monitoring in air pollution control. A comprehensive framework based on random forest classification is developed and applied to representative cases drawn from air pollution control. The model explained 14% of the variance observed in the field data. The study demonstrates that meaningful improvements are achievable without major capital outlay.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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