Home ›
Entities
› academia
› Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System
Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System
Research article (Remote Sensing, 2022) · cited 56× · AI/ML
Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System
Summary
Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System is a scholarly article[1].
Key Facts
Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-algorithms-for-modeling-and-mapping-of-groundwater-pollution-risk-a-study-to-reach-water-security-and-s
MLA“Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-algorithms-for-modeling-and-mapping-of-groundwater-pollution-risk-a-study-to-reach-water-security-and-s.
BibTeX@misc{4ortxyz_machine-learning-algorithms-for-modeling-and-mapping-of-groundwater-pollution-risk-a-study-to-reach-water-security-and-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-algorithms-for-modeling-and-mapping-of-groundwater-pollution-risk-a-study-to-reach-water-security-and-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System — https://4ort.xyz/entity/machine-learning-algorithms-for-modeling-and-mapping-of-groundwater-pollution-risk-a-study-to-reach-water-security-and-s (retrieved 2026-05-24)
