K. Gopalakrishnan
Journal of Cleaner Production · 2008–2018
A researcher in the Science corpus: 5 papers; trusts 0 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Who trusts K. Gopalakrishnan overall
Papers from K. Gopalakrishnan's perspective
Ordered by how strongly the researchers K. Gopalakrishnan trusts endorse each paper. Same corpus, a different order for every researcher.
- SIMPLE PERFORMANCE TEST FOR SUPERPAVE MIX DESIGN
- Simple Performance Tests: Summary of Recommended Methods and Database
- Neural Networks: A Comprehensive Foundation
- Neural Networks in Civil Engineering: 1989–2000
- HIRSCH MODEL FOR ESTIMATING THE MODULUS OF ASPHALT CONCRETE
- Rank Correlation Methods
- Advanced approaches to hot-mix asphalt dynamic modulus prediction
- Development of a New Revised Version of the Witczak E* Predictive Model for Hot Mix Asphalt Mixtures (With Discussion)
- Field Evaluation of Witczak and Hirsch Models for Predicting Dynamic Modulus of Hot-Mix Asphalt (With Discussion)
- ImageNet classification with deep convolutional neural networks
Their papers
- Carbon fiber-based electrically conductive concrete for salt-free deicing of pavements (2018) — 187 citations
- Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection (2017) — 900 citations
- Superhydrophobic coatings on Portland cement concrete surfaces (2017) — 136 citations
- Accuracy of Predictive Models for Dynamic Modulus of Hot-Mix Asphalt (2009) — 137 citations
- Advanced approaches to hot-mix asphalt dynamic modulus prediction (2008) — 62 citations