DataCite
metadata only
CC BY 4.0
Designing Field-Deployable, AI Smartphone-Based Diagnostics for Global Scalable Water Intelligence: The EcoExposure Platform
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
- Designing Field-Deployable, AI Smartphone-Based Diagnostics for Global Scalable Water Intelligence: The EcoExposure Platform#122258
- Deep forecasting architectures mirror ecological time scales in water quality prediction.#662680
- AI Plant Doctor: An AI-Powered Leaf Disease Scanner for Sustainable Agriculture using Deep Learning and Mobile Computing#115255
- Integrated Machine Learning for Agriculture, Environment and Health-Adjacent Systems: Solar Cell Screening, Reservoir Monitoring and IoT-Driven Advisory Across Interdisciplinary Contexts#1090133
- THEORETICAL FRAMEWORKS FOR THE ROLE OF AI AND MACHINE LEARNING IN WATER CYBERSECURITY: INSIGHTS FROM AFRICAN AND U.S. APPLICATIONS#679395
Record · ID 122259
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