2026-09-21T00:41:53.244Z
- url:
https://doi.org/10.5281/zenodo.21819000→ https://doi.org/10.5281/zenodo.22845455
SOURCE-LINKED INTELLIGENCE
Reliable Geopolymer-Concrete Strength Prediction Using Source-Aware Machine Learning and Local Calibration
Zenodo (CERN European Organization for Nuclear Research) · Innovative concrete reinforcement materials · Manipal University Jaipur; Noida International University
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- recordType
- paper
- evidenceStatus
- metadata-reported
- region
- Global
Evidence & attribution
- OpenAlex research metadata · 2026-09-19T00:00:00.000Z
- OpenAlex research metadata · 2026-09-19T00:00:00.000Z
Research metadata: OpenAlex (CC0). Original paper rights remain with its publisher.
First collected: 2026-09-20T23:22:28.549Z. This is not the publication date.
Observed changes
AIIC observation times, not verified publisher revision times. Up to eight recent revisions.
Research metadata
OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.
- Citations reported by OpenAlex
- 0
- Authors
- Sourav Kumar Das; Pradyut Anand
- Affiliations
- Manipal University Jaipur; Noida International University (IN)
- Topic
- Innovative concrete reinforcement materials
- Venue
- Zenodo (CERN European Organization for Nuclear Research)
- Publication type
- article
- Retraction flag reported by OpenAlex
- Not flagged
Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.