NCBI PubMed Central
open access
Predicting curbside food waste generation from responses to Self-Administered Surveys: An Application of Machine learning to improve household estimates.
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
- Testing the water: Importance of surface water resources for settlement installation in various climatic contexts using a machine learning approach#434990
- Machine Learning-Based Delivery Time Prediction for Low-Carbon Food Delivery#1062019
- Estimating Domestic Self-Supplied Water Use in Rhode Island, 2014–21#621889
- Solid Waste Detection and Classification DataSet#14465
- Solid Waste Detection and Classification DataSet#14464
Record · ID 402779
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