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Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain
Research article (Computers and Geotechnics, 2023) · cited 14× · AI/ML
Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain
Summary
Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain is a scholarly article[1].
Key Facts
Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain's instance of is recorded as scholarly article[2].
References
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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). Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-an-advanced-machine-learning-model-to-predict-the-ph-of-groundwater-in-permeable-reactive-barriers-prbs-l
MLA“Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-an-advanced-machine-learning-model-to-predict-the-ph-of-groundwater-in-permeable-reactive-barriers-prbs-l.
BibTeX@misc{4ortxyz_development-of-an-advanced-machine-learning-model-to-predict-the-ph-of-groundwater-in-permeable-reactive-barriers-prbs-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-an-advanced-machine-learning-model-to-predict-the-ph-of-groundwater-in-permeable-reactive-barriers-prbs-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development of an advanced machine learning model to predict the pH of groundwater in permeable reactive barriers (PRBs) located in acidic terrain — https://4ort.xyz/entity/development-of-an-advanced-machine-learning-model-to-predict-the-ph-of-groundwater-in-permeable-reactive-barriers-prbs-l (retrieved 2026-05-24)
