Figshare
open access
CC BY 4.0
Big Data-Driven Decision Support System Framework for Sustainable Multi-Criteria Computing in Green Systems
Big data provide valuable insights by offering diverse information and sophisticated analysis through advanced algorithms. However, its huge volume, variety, and speed present significant challenges for effective computing. To address these, this study applies a Multi-Criteria Decision-Making (MCDM)
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
- Data scarcity to strategic insight: monitoring global SDG progress using big earth data and AI#1133655
- Making a Water Data System Responsive to Information Needs of Decision Makers#780486
- Integrating machine learning and multi-criteria decision analysis for health risk management in water distribution networks.#218902
- NASA's Earth Science Data Systems#499166
- The impacts of artificial intelligence on environmental sustainability and human well-being#1187323
Record · ID 1298832
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