Home ›
Entities
› academia
› Predicting Cd(II) adsorption capacity of biochar materials using typical machine learning models for effective remediation of aquatic environments
Predicting Cd(II) adsorption capacity of biochar materials using typical machine learning models for effective remediation of aquatic environments
Research article (The Science of The Total Environment, 2024) · cited 48× · AI/ML
Predicting Cd(II) adsorption capacity of biochar materials using typical machine learning models for effective remediation of aquatic environments
Summary
Predicting Cd(II) adsorption capacity of biochar materials using typical machine learning models for effective remediation of aquatic environments is a scholarly article[1].
Key Facts
Predicting Cd(II) adsorption capacity of biochar materials using typical machine learning models for effective remediation of aquatic environments'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). Predicting Cd(II) adsorption capacity of biochar materials using typical machine learning models for effective remediation of aquatic environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-cd-ii-adsorption-capacity-of-biochar-materials-using-typical-machine-learning-models-for-effective-remediatio
MLA“Predicting Cd(II) adsorption capacity of biochar materials using typical machine learning models for effective remediation of aquatic environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-cd-ii-adsorption-capacity-of-biochar-materials-using-typical-machine-learning-models-for-effective-remediatio.
BibTeX@misc{4ortxyz_predicting-cd-ii-adsorption-capacity-of-biochar-materials-using-typical-machine-learning-models-for-effective-remediatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting Cd(II) adsorption capacity of biochar materials using typical machine learning models for effective remediation of aquatic environments}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-cd-ii-adsorption-capacity-of-biochar-materials-using-typical-machine-learning-models-for-effective-remediatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting Cd(II) adsorption capacity of biochar materials using typical machine learning models for effective remediation of aquatic environments — https://4ort.xyz/entity/predicting-cd-ii-adsorption-capacity-of-biochar-materials-using-typical-machine-learning-models-for-effective-remediatio (retrieved 2026-05-24)