Figshare
open access
CC BY 4.0
Dataset for ML prediction of recycled aggregate concrete slump-based workability
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete.#165576
- A physics-guided neural network model to evaluate anisotropic compressive strength of 3D printed concrete#248741
- Durability of Rapid-Setting Concrete Repairs on Pavement Panels and Bridge Decks in Utah#173920
- Predicting resilient modulus for pavement design : a comprehensive review of artificial neural network applications.#1135643
- A maintenance-aware machine learning framework for network-level highway pavement condition prediction#481897
Record · ID 314638
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive