314 citations
- Middle East Technical UniversityTR31 papers
- Cukurova UniversityTR22 papers
- Centre National de la Recherche ScientifiqueFR18 papers
- ETH ZurichCH18 papers
- Kyungpook National UniversityKR18 papers
- Universidade Federal do ABCBR18 papers
- University of PaviaIT18 papers
- University of WarsawPL18 papers
- A. Alikhanyan National LaboratoryAM17 papers
- Baylor UniversityUS17 papers
- Benemérita Universidad Autónoma de PueblaMX17 papers
- Bhabha Atomic Research CentreIN17 papers
Showing 2025 · cs.AIShow all
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cs.AI2025
Predicting California Bearing Ratio with Ensemble and Neural Network Models: A Case Study from Turkiye
Abdullah Hulusi Kökçam, Uğur Dağdeviren, Talas Fikret Kurnaz +2
The California Bearing Ratio (CBR) is a key geotechnical indicator used to assess the load-bearing capacity of subgrade soils, especially in transportation infrastructure and found…
cs.AI2025★ 1 cited
Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach
Caner Erden, Alparslan Serhat Demir, Abdullah Hulusi Kokcam +2
Soil compaction is critical in construction engineering to ensure the stability of structures like road embankments and earth dams. Traditional methods for determining optimum mois…