Towards Convolutional Neural Networks

Omar Haddad, Priya Andersson

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2020.4402.043

1. Introduction

Growing populations and rapid industrialisation place unprecedented demands on rigid pavement design across South Asia. Model parameters are calibrated against field data and independently validated using Monte Carlo simulation. The proposed method reduced prediction error by 15% compared with conventional practice. Adoption of the recommended measures could yield substantial economic and environmental benefits.

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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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