Springer Nature OA
open access
CC BY-NC-ND 4.0
Developing a sustainable waste-to-energy framework for Saudi Arabia through an artificial intelligence-driven systematic review
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
- Artificial intelligence for clean technologies: a cross-sectoral review of sustainable, data-driven, and policy-aware systems#1068021
- Security by design in artificial intelligence-enabled energy management systems: a sociotechnical framework.#360623
- The role of artificial intelligence in achieving the Sustainable Development Goals#6663
- Artificial intelligence-driven monitoring and sustainable management of lithium-ion battery waste: integrating advanced sensing, environmental remediation, and circular resource recovery.#1147366
- Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals#423267
Record · ID 450710
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